Triple

T7581057
Position Surface form Disambiguated ID Type / Status
Subject The Paper Chase E179486 entity
Predicate director P255 FINISHED
Object James Bridges E675144 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: James Bridges | Statement: [The Paper Chase, director, James Bridges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Bridges
Context triple: [The Paper Chase, director, James Bridges]
  • A. James Bridges chosen
    James Bridges was an American film director, screenwriter, and producer known for movies such as "The China Syndrome," "Urban Cowboy," and "Mike's Murder."
  • B. Alan Bridges
    Alan Bridges was a British film and television director known for his nuanced, character-driven dramas, including acclaimed works such as "The Shooting Party."
  • C. Bill Travers
    Bill Travers was a British actor and wildlife conservationist best known for his roles in mid-20th-century films and for co-founding the Born Free Foundation.
  • D. Gene Milford
    Gene Milford was an American film editor known for his work on numerous classic Hollywood films across several decades.
  • E. Floyd Crosby
    Floyd Crosby was an Academy Award–winning American cinematographer known for his work on numerous classic films, including influential low-budget horror and science fiction movies.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f97717048190b0ca1a74ed8a817e completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8683deac48190bf953088c6c232d5 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:52 p.m.