Triple

T13542503
Position Surface form Disambiguated ID Type / Status
Subject Buck Privates E323423 entity
Predicate screenwriter P2831 FINISHED
Object John Grant E920408 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: [Buck Privates, screenwriter, John Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Grant
Context triple: [Buck Privates, screenwriter, 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 chosen
    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
    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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd8ba10819098faadcc6adf251e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da094288190aff108b006c3da1f completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.