Triple

T4610881
Position Surface form Disambiguated ID Type / Status
Subject Tull E100551 entity
Predicate notableBearer P458 FINISHED
Object Thomas Tull E18130 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: Thomas Tull | Statement: [Tull, notableBearer, Thomas Tull]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Tull
Context triple: [Tull, notableBearer, Thomas Tull]
  • A. Thomas Tull chosen
    Thomas Tull is an American billionaire film producer and entrepreneur, best known as the founder of Legendary Entertainment, the studio behind major blockbuster franchises.
  • B. Thomas Grazer
    Thomas Grazer is the son of acclaimed American film and television producer Brian Grazer.
  • C. 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.
  • D. Bob Iger
    Bob Iger is an American media executive best known for leading The Walt Disney Company as its longtime CEO and overseeing major acquisitions that expanded Disney’s global entertainment empire.
  • E. David Katzenberg
    David Katzenberg is an American television and film producer and director known for co-creating the MTV series "The Hard Times of RJ Berger" and producing various comedy and horror projects.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59be3300819095e548b488c8f75e completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa836f488190bb320e8cb393a286 completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.