Triple

T1180892
Position Surface form Disambiguated ID Type / Status
Subject Little Man Tate E25133 entity
Predicate producer P490 FINISHED
Object Scott Rudin E13246 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: Scott Rudin | Statement: [Little Man Tate, producer, Scott Rudin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Rudin
Context triple: [Little Man Tate, producer, Scott Rudin]
  • A. Scott Rudin chosen
    Scott Rudin is an American film, television, and theater producer known for acclaimed works such as "No Country for Old Men," "The Social Network," and numerous award-winning Broadway productions.
  • B. Irwin Winkler
    Irwin Winkler is an American film producer and director best known for producing the "Rocky" series and numerous other acclaimed Hollywood films.
  • C. Thomas Grazer
    Thomas Grazer is the son of acclaimed American film and television producer Brian Grazer.
  • D. Saul Zaentz
    Saul Zaentz was an American film producer and former record company executive best known for producing acclaimed films such as One Flew Over the Cuckoo’s Nest, Amadeus, and The English Patient.
  • E. David Puttnam
    David Puttnam is a British film producer and politician best known for producing acclaimed films such as "Chariots of Fire" and "The Killing Fields."
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd32c5f48190b4e2d39fa052cbb7 completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f3443588190af6c06383e904e7d completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:45 p.m.