Triple

T2289793
Position Surface form Disambiguated ID Type / Status
Subject Burlesque E51475 entity
Predicate producer P490 FINISHED
Object Craig Zadan E25703 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: Craig Zadan | Statement: [Burlesque, producer, Craig Zadan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Zadan
Context triple: [Burlesque, producer, Craig Zadan]
  • A. Craig Zadan chosen
    Craig Zadan was an American film, television, and theater producer best known for his work on musical adaptations and live TV musicals, including projects like "Chicago" and NBC's live musical events.
  • B. David Frankel
    David Frankel is an American film and television director best known for helming popular works such as "The Devil Wears Prada" and episodes of "Sex and the City."
  • C. Michael Seitzman
    Michael Seitzman is an American screenwriter and producer known for his work on films such as "North Country" and for creating and producing several television series.
  • D. James DeMonaco
    James DeMonaco is an American filmmaker and screenwriter best known for creating and writing the dystopian horror franchise "The Purge."
  • E. Christopher L. Yost
    Christopher L. Yost is an American screenwriter and comic book writer known for his work on Marvel films and animated series, including co-writing the screenplay for Thor: Ragnarok.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc273b67c8190bcd96f9a484647ef completed March 7, 2026, 6:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae96080548819098ae6c5ab73036f2 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:48 p.m.