Triple

T14805735
Position Surface form Disambiguated ID Type / Status
Subject Dark Water E348029 entity
Predicate producer P490 FINISHED
Object Bill Mechanic E247999 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: Bill Mechanic | Statement: [Dark Water, producer, Bill Mechanic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Mechanic
Context triple: [Dark Water, producer, Bill Mechanic]
  • A. Bill Mechanic chosen
    Bill Mechanic is an American film producer and former Fox Filmed Entertainment chairman known for overseeing major studio hits and producing high-profile projects, including the 82nd Academy Awards ceremony.
  • B. Jack Mower
    Jack Mower was an American film actor and prolific bit player who appeared in hundreds of movies from the silent era through the mid-20th century.
  • C. Sam Wrench
    Sam Wrench is a British film and concert director known for helming high-profile music documentaries and live performance films for major artists.
  • D. Bill Williamson
    Bill Williamson is the central protagonist of the film "Stormy Weather," around whom the story’s musical and dramatic events revolve.
  • E. Bill Woodward
    Bill Woodward is an individual known for contributing to the book *The Mighty and the Almighty: Reflections on America, God, and World Affairs*.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf32666081908e84f985c47eb963 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c6b3008190a0fac1dace40361a completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:34 a.m.