Triple

T17947885
Position Surface form Disambiguated ID Type / Status
Subject Helen Grime E448752 entity
Predicate name P16 FINISHED
Object Helen Grime NE NERFINISHED

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: Helen Grime | Statement: [Helen Grime, name, Helen Grime]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Grime
Context triple: [Helen Grime, name, Helen Grime]
  • A. Helen Grime chosen
    Helen Grime is a contemporary Scottish composer acclaimed for her orchestral and chamber works and recognized with major classical music awards.
  • B. 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.
  • C. Caroline Shaw
    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.
  • D. Roxanna Panufnik
    Roxanna Panufnik is a contemporary British composer known for her choral, orchestral, and sacred music, often blending diverse cultural and religious influences.
  • E. Nick Glennie-Smith
    Nick Glennie-Smith is a British film composer and conductor known for his work on high-profile action and adventure movie scores.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afa9cb2481908c95f8c430dcc0aa completed April 19, 2026, 10:34 a.m.
Created at: April 10, 2026, 10:21 a.m.