Triple

T21430262
Position Surface form Disambiguated ID Type / Status
Subject 42 (film) E528664 entity
Predicate producer P490 FINISHED
Object Brian Helgeland 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: Brian Helgeland | Statement: [42 (film), producer, Brian Helgeland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Helgeland
Context triple: [42 (film), producer, Brian Helgeland]
  • A. Brian Helgeland chosen
    Brian Helgeland is an American screenwriter and director best known for his Oscar-winning work on crime dramas and genre films such as L.A. Confidential and Mystic River.
  • B. Robert Towne
    Robert Towne is an acclaimed American screenwriter and director best known for writing the Oscar-winning screenplay for "Chinatown" and contributing to several other landmark films of the New Hollywood era.
  • C. William Goldman
    William Goldman was an acclaimed American novelist and screenwriter known for works such as "Butch Cassidy and the Sundance Kid" and "The Princess Bride."
  • D. Geri Eszterhas
    Geri Eszterhas is the wife of Hungarian-American screenwriter and author Joe Eszterhas.
  • E. David Seltzer
    David Seltzer is an American screenwriter and director best known for writing the horror classic "The Omen" (1976) and for his work on films such as "Lucas" and "Punchline."
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813ef6a8819089511b8f608c9491 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:49 p.m.