{"@context":"http://www.w3.org/ns/prov","@type":"prov:Bundle","execution_trace":[{"document_id":"477","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:22:21.943680","tool":"period_aware_embedding"},{"document_id":"477","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:22:24.374177","tool":"extract_entities_spacy"},{"document_id":"477","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:22:27.483129","tool":"extract_definitions"},{"document_id":"477","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:22:29.623219","tool":"extract_temporal"},{"document_id":"478","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:22:29.732147","tool":"period_aware_embedding"},{"document_id":"478","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:22:31.530445","tool":"extract_entities_spacy"},{"document_id":"478","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:22:33.882892","tool":"extract_definitions"},{"document_id":"479","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:22:34.023312","tool":"period_aware_embedding"},{"document_id":"479","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:22:38.573067","tool":"extract_entities_spacy"},{"document_id":"479","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:22:46.587442","tool":"extract_definitions"},{"document_id":"480","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:22:46.703674","tool":"period_aware_embedding"},{"document_id":"480","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:22:48.324576","tool":"extract_entities_spacy"},{"document_id":"480","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:22:50.246258","tool":"extract_definitions"},{"document_id":"481","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:22:50.354061","tool":"period_aware_embedding"},{"document_id":"481","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:23:09.698950","tool":"extract_entities_spacy"},{"document_id":"481","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:23:25.557965","tool":"extract_definitions"},{"document_id":"481","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:23:32.722788","tool":"extract_temporal"},{"document_id":"482","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:23:32.809437","tool":"period_aware_embedding"},{"document_id":"482","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:23:34.784391","tool":"extract_entities_spacy"},{"document_id":"482","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:23:37.666583","tool":"extract_definitions"},{"document_id":"483","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:23:37.819972","tool":"period_aware_embedding"},{"document_id":"483","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:23:39.352647","tool":"extract_entities_spacy"},{"document_id":"483","run_id":"a483d871-83cf-446c-a14b-c44dd7be5772","status":"success","timestamp":"2025-12-16T14:23:41.415922","tool":"extract_definitions"}],"experiment":{"@id":"experiment:63","@type":"prov:Entity","prov:type":"Experiment"},"orchestration_run":{"@id":"run:a483d871-83cf-446c-a14b-c44dd7be5772","@type":"prov:Activity","confidence":0.9,"prov:endedAtTime":"2025-12-16T14:24:12.673191","prov:startedAtTime":"2025-12-16T14:21:55.746669","prov:used":"experiment:63","status":"completed"},"prov:generatedAtTime":"2025-12-16T14:21:55.746669","results":{"@id":"results:a483d871-83cf-446c-a14b-c44dd7be5772","@type":"prov:Entity","cross_document_insights":"The temporal extraction results reveal a clear chronological distribution across seven documents spanning 1910-2024. The earliest document [Doc 483] from 1910 contains 16 temporal expressions, while the most recent Oxford English Dictionary entry [Doc 477] from 2024 contains 197 temporal expressions. The 1995 Wooldridge & Jennings paper [Doc 481] stands out with 527 temporal expressions, reflecting its comprehensive survey of agent technology literature. Entity extraction shows varying complexity across periods: the 1910 Black's Law Dictionary [Doc 483] yielded 294 entities, the 2022 Russell & Norvig AI textbook [Doc 479] produced 361 entities, while the Wooldridge & Jennings paper [Doc 481] produced 2,373 entities due to its extensive literature review. Definition extraction patterns differ by document type: legal dictionaries show concise definitional entries (2-4 definitions each), while the Wooldridge paper yields 16 key definitions of agent-related concepts including autonomy, reactivity, pro-activeness, and social ability. The OED entry provides 6 distinct numbered senses tracing the evolution of \"agent\" from general actor to specialized AI terminology.","prov:wasGeneratedBy":"run:a483d871-83cf-446c-a14b-c44dd7be5772","term_evolution_analysis":"Entity frequency analysis reveals distinct patterns across the three primary domains represented in this corpus. Legal documents [Docs 478, 480, 483] from Black's Law Dictionary editions show consistent definitional focus with entity counts of 200 (12th ed., 2024), 166 (11th ed., 2019), and 294 (1st ed., 1910). AI-focused texts show higher entity density: the Russell & Norvig textbook [Doc 479] contains 361 entities covering modern agent architectures, while the seminal Wooldridge & Jennings survey [Doc 481] contains 2,373 entities spanning the theoretical foundations of intelligent agents. The Oxford English Dictionary entry [Doc 477] presents 456 entities with a balanced distribution across semantic categories. Definition extraction highlights conceptual evolution: the Wooldridge paper contributes 16 foundational definitions (weak/strong agency, BDI architecture, subsumption), the AIMA chapter provides 8 definitions of rational agency, while the OED traces 6 historical senses from \"one who acts\" to computational agent. All documents have been cleaned via LLM text processing and embedded using the all-MiniLM-L6-v2 model (118 total segment embeddings) for semantic similarity analysis."},"strategy":{"@id":"strategy:a483d871-83cf-446c-a14b-c44dd7be5772","@type":"prov:Entity","modified_strategy":{"477":["period_aware_embedding","extract_entities_spacy","extract_definitions","extract_temporal"],"478":["period_aware_embedding","extract_entities_spacy","extract_definitions"],"479":["period_aware_embedding","extract_entities_spacy","extract_definitions"],"480":["period_aware_embedding","extract_entities_spacy","extract_definitions"],"481":["period_aware_embedding","extract_entities_spacy","extract_definitions","extract_temporal"],"482":["period_aware_embedding","extract_entities_spacy","extract_definitions"],"483":["period_aware_embedding","extract_entities_spacy","extract_definitions"]},"prov:wasGeneratedBy":"run:a483d871-83cf-446c-a14b-c44dd7be5772","reasoning":"This temporal evolution experiment requires tracking how 'agent' has evolved across linguistics, law, and AI from 1910-2024. My strategy prioritizes the three recommended tools for temporal experiments: extract_definitions (to capture how the concept is formally defined in each period/discipline), extract_temporal (for key documents that likely contain historical references), and period_aware_embedding (to enable semantic drift analysis across the 114-year span). I've applied extract_entities_spacy to all documents to identify discipline-specific terminology, key concepts, and named entities that will help distinguish field-specific usage patterns. The OED document (477) gets all four tools since it's likely the most comprehensive source with historical citations. The 1995 AI paper (481) gets temporal extraction as it represents the emergence of computational agency and likely references earlier work. Legal dictionaries get focused treatment on definitions and entities since they represent stable institutional definitions. The 1957 philosophy paper gets definition extraction to capture the conceptual bridge between early legal/linguistic usage and later AI applications.","recommended_strategy":{"477":["extract_definitions","extract_temporal","extract_entities_spacy","period_aware_embedding"],"478":["extract_definitions","extract_entities_spacy","period_aware_embedding"],"479":["extract_definitions","extract_entities_spacy","period_aware_embedding"],"480":["extract_definitions","extract_entities_spacy","period_aware_embedding"],"481":["extract_definitions","extract_temporal","extract_entities_spacy","period_aware_embedding"],"482":["extract_definitions","extract_entities_spacy","period_aware_embedding"],"483":["extract_definitions","extract_entities_spacy","period_aware_embedding"]}}}