Triple

T7918072
Position Surface form Disambiguated ID Type / Status
Subject Bee Movie E183876 entity
Predicate producer P490 FINISHED
Object Jerry Zucker E302602 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: Jerry Zucker | Statement: [Bee Movie, producer, Jerry Zucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry Zucker
Context triple: [Bee Movie, producer, Jerry Zucker]
  • A. Jerry Zucker chosen
    Jerry Zucker is an American film director, producer, and screenwriter best known as part of the Zucker, Abrahams and Zucker team behind comedies like "Airplane!" and for directing the romantic fantasy drama "Ghost."
  • B. David Zucker
    David Zucker is an American film director, producer, and screenwriter best known for his work on spoof comedies such as "Airplane!" and "The Naked Gun" series.
  • C. David W. Zucker
    David W. Zucker is a television producer known for overseeing high-profile, prestige drama series, including the adaptation of Philip K. Dick’s "The Man in the High Castle."
  • D. Lee Eisenberg
    Lee Eisenberg is an American television writer and producer best known for his work on series such as The Office and Hello Ladies.
  • E. Charles Shyer
    Charles Shyer is an American filmmaker best known for directing and co-writing popular romantic comedies such as "Father of the Bride" and "Baby Boom."
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a8fbbb48190b50def4941761a31 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5be9e6548190a01d2e6db8dc4864 completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:05 p.m.