Triple

T18661940
Position Surface form Disambiguated ID Type / Status
Subject The Black Cauldron E456220 entity
Predicate producer P490 FINISHED
Object Joe Hale 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: Joe Hale | Statement: [The Black Cauldron, producer, Joe Hale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Hale
Context triple: [The Black Cauldron, producer, Joe Hale]
  • A. Joe Hale chosen
    Joe Hale is an American film producer best known for his work on Disney’s animated feature "The Black Cauldron."
  • B. Nathaniel Dwayne Hale
    Nathaniel Dwayne Hale, better known as Nate Dogg, was an American singer and rapper renowned for his smooth hooks and influential contributions to West Coast hip hop and G-funk.
  • C. Jere Henshaw
    Jere Henshaw is a film producer best known for his work on the 1987 teen romantic comedy "Can't Buy Me Love."
  • D. Jesse Hale
    Jesse Hale is a former member of the American hard rock band Halestorm, known for their energetic performances and chart-topping rock hits.
  • E. Curtis Hixon
    Curtis Hixon was a prominent Tampa, Florida mayor and civic leader whose contributions to the city led to major public landmarks being named in his honor.
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5508b35ec819085c1c4c2c98d6672 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:48 a.m.