Triple

T2658426
Position Surface form Disambiguated ID Type / Status
Subject The Basketball Diaries E54668 entity
Predicate musicBy P1952 FINISHED
Object Graeme Revell E185967 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: Graeme Revell | Statement: [The Basketball Diaries, musicBy, Graeme Revell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graeme Revell
Context triple: [The Basketball Diaries, musicBy, Graeme Revell]
  • A. Graeme Revell chosen
    Graeme Revell is a New Zealand-born composer best known for his atmospheric film scores across genres including horror, action, and science fiction.
  • B. Graeme Gibson
    Graeme Gibson was a Canadian novelist, environmentalist, and cultural advocate known for his contributions to Canadian literature and his long partnership with writer Margaret Atwood.
  • C. Graham Walters
    Graham Walters is a film producer best known for his work on the acclaimed Pixar animated feature "Finding Nemo."
  • D. Colin Goudie
    Colin Goudie is a film editor known for his work on major feature films, including the fantasy action movie "King Arthur: Legend of the Sword."
  • E. Gavin Millar
    Gavin Millar was a Scottish film and television director, critic, and producer known for his work on British dramas and literary adaptations.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd94dcaa48190aec625f68ce61a02 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69b324c5ed1c8190a7b42abe24785654 completed March 12, 2026, 8:40 p.m.
Created at: March 6, 2026, 9:53 p.m.