Triple

T10162229
Position Surface form Disambiguated ID Type / Status
Subject John Bridgeman E233917 entity
Predicate name P16 FINISHED
Object John Bridgeman E233917 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: John Bridgeman | Statement: [John Bridgeman, name, John Bridgeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Bridgeman
Context triple: [John Bridgeman, name, John Bridgeman]
  • A. John Bridgeman chosen
    John Bridgeman is a British sculptor known for his innovative post-war public artworks and contributions to modern sculpture in the UK.
  • B. George Bridgman
    George Bridgman was a renowned Canadian-American artist and influential art instructor best known for his foundational books and teachings on figure drawing and anatomy.
  • C. Stanley Clements
    Stanley Clements was an American film and television actor best known for his roles in the "Bowery Boys" series and other mid-20th-century Hollywood productions.
  • D. Charles Bridgeman
    Charles Bridgeman was an influential early 18th-century English landscape designer who helped pioneer the transition from formal Baroque gardens to the more naturalistic English landscape style.
  • E. Samuel Charles Bugbee
    Samuel Charles Bugbee was a 19th-century architect known for designing notable buildings in California, including early structures in San Francisco and the University of California, Berkeley campus.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec5b5194819095645e9174897b0f completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300cc37dc8190b331c8d205f40284 completed April 6, 2026, 12:39 a.m.
Created at: March 30, 2026, 9:09 p.m.