Triple

T15193533
Position Surface form Disambiguated ID Type / Status
Subject Bella Union E363086 entity
Predicate notableArtist P601 FINISHED
Object John Grant E816022 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: John Grant | Statement: [Bella Union, notableArtist, John Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Grant
Context triple: [Bella Union, notableArtist, John Grant]
  • A. John Grant
    John Grant is the protagonist of the Australian film "Red Dog: True Blue," a young boy whose life is transformed through his friendship with the legendary red kelpie.
  • B. John Grant
    John Grant was an American comedy writer best known for crafting many of Abbott and Costello’s film scripts and routines.
  • C. John Grant
    John Grant was a Scottish author, editor, and critic best known for his work in science fiction and fantasy reference books and encyclopedias.
  • D. Josh Tillman chosen
    Josh Tillman, better known by his stage name Father John Misty, is an American singer-songwriter and former Fleet Foxes drummer acclaimed for his introspective, often satirical indie folk music.
  • E. Gene Feist
    Gene Feist was an American theater director, producer, and educator best known for co-founding New York City's Roundabout Theatre Company and helping establish it as a major nonprofit institution.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067eb710819085211fd05d5fa5f0 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec8995bb08190bd7f0be0a0fcf1e7 completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:10 a.m.