Triple

T18508487
Position Surface form Disambiguated ID Type / Status
Subject Chris Cooper as Phil Woodward E452264 entity
Predicate characterName P36851 FINISHED
Object Phil Woodward NE NERFINISHED

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: Phil Woodward | Statement: [Chris Cooper as Phil Woodward, characterName, Phil Woodward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Woodward
Context triple: [Chris Cooper as Phil Woodward, characterName, Phil Woodward]
  • A. Phil Woodward chosen
    Phil Woodward is a middle-aged executive in the film "The Company Men" whose career and identity are upended by corporate downsizing.
  • B. Tony Eason
    Tony Eason is a former American football quarterback best known for playing in the NFL during the 1980s, primarily with the New England Patriots.
  • C. Leon Jaworski
    Leon Jaworski was a prominent American lawyer best known for serving as the Watergate special prosecutor who pursued the case against President Richard Nixon.
  • D. Bob Fouts
    Bob Fouts was an American sportscaster best known for his long career as a play-by-play announcer for San Francisco Bay Area sports teams.
  • E. Brian Clemons
    Brian Clemons is an individual associated with the use or authorship of something referred to as "Clemons," likely in a professional or creative context.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53344c6b081908e780ed5c815a766 completed April 19, 2026, 7:55 p.m.
Created at: April 10, 2026, 11:36 a.m.