Triple

T21116636
Position Surface form Disambiguated ID Type / Status
Subject Heyman E520316 entity
Predicate hasNotableBearer P458 FINISHED
Object David Heyman 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: David Heyman | Statement: [Heyman, hasNotableBearer, David Heyman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Heyman
Context triple: [Heyman, hasNotableBearer, David Heyman]
  • A. David Heyman chosen
    David Heyman is a British film producer best known for originating and producing the Harry Potter film series and other major studio franchises.
  • B. Graham King
    Graham King is a British film producer known for acclaimed movies such as "The Departed," "Bohemian Rhapsody," and "The Aviator."
  • C. Marc Turtletaub
    Marc Turtletaub is an American film producer and director known for backing acclaimed independent and character-driven movies such as "Little Miss Sunshine" and "A Beautiful Day in the Neighborhood."
  • D. Michael G. Wilson
    Michael G. Wilson is an American film producer best known for co-producing numerous James Bond films and helping oversee the long-running franchise.
  • E. Brian Grazer
    Brian Grazer is an American film and television producer and co-founder of Imagine Entertainment, known for producing acclaimed movies and TV series such as A Beautiful Mind, Apollo 13, and Arrested Development.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72106a3b48190a0efa51a74ae21f0 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:55 p.m.