Triple

T8669670
Position Surface form Disambiguated ID Type / Status
Subject The Town E205762 entity
Predicate musicBy P1952 FINISHED
Object David Buckley E214397 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: David Buckley | Statement: [The Town, musicBy, David Buckley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Buckley
Context triple: [The Town, musicBy, David Buckley]
  • A. David Buckley chosen
    David Buckley is a British film and television composer known for scoring numerous Hollywood productions, including action and thriller films.
  • B. Paul Buckley
    Paul Buckley is a name shared by several notable individuals, including professionals in fields such as sports, academia, and the arts.
  • C. Jonathan Buckley
    Jonathan Buckley is known as the son of American political satirist and novelist Christopher Buckley.
  • D. Stephen Buckley
    Stephen Buckley is a name shared by several notable individuals, including professionals in fields such as academia, sports, and the arts.
  • E. Rob Buckley
    Rob Buckley is a relatively obscure individual whose name is notably associated with the surname Buckley but who has no widely recognized public profile.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4917cb9881909a73b74e54250613 completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfd070ca0c819092b98a7aa079c33c completed April 3, 2026, 2:36 p.m.
Created at: March 30, 2026, 6:31 p.m.