Triple

T8634155
Position Surface form Disambiguated ID Type / Status
Subject Bryce Dessner E204477 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Caroline Shaw E387318 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: Caroline Shaw | Statement: [Bryce Dessner, hasCollaboratedWith, Caroline Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caroline Shaw
Context triple: [Bryce Dessner, hasCollaboratedWith, Caroline Shaw]
  • A. Caroline Shaw chosen
    Caroline Shaw is a Pulitzer Prize–winning American composer, violinist, and singer known for her innovative vocal and chamber works and collaborations across classical and experimental music.
  • B. Helen Grime
    Helen Grime is a contemporary Scottish composer acclaimed for her orchestral and chamber works and recognized with major classical music awards.
  • C. Judith Weir
    Judith Weir is a British composer and Master of the King’s Music, renowned for her operas, choral works, and prominent ceremonial compositions.
  • D. Alison Balsom
    Alison Balsom is an acclaimed English classical trumpeter renowned for her solo performances, recordings, and contributions to popularizing the trumpet in contemporary classical music.
  • E. Cosima Shaw
    Cosima Shaw is a German-British actress known for her work in science fiction and drama, including prominent roles in television and film.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4743d31881908cf9fc3838c4bdd9 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc1b330c81909ff8a6806401dfd1 completed April 2, 2026, 6:57 p.m.
Created at: March 30, 2026, 6:27 p.m.