Triple

T13509087
Position Surface form Disambiguated ID Type / Status
Subject Goldsmiths Prize E321088 entity
Predicate notableWinner P2766 FINISHED
Object Rachel Cusk E809482 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: Rachel Cusk | Statement: [Goldsmiths Prize, notableWinner, Rachel Cusk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Cusk
Context triple: [Goldsmiths Prize, notableWinner, Rachel Cusk]
  • A. Rachel Cusk chosen
    Rachel Cusk is a British-Canadian novelist and memoirist best known for her innovative, autofictional Outline trilogy and incisive explorations of identity, marriage, and motherhood.
  • B. Margaret Drabble
    Margaret Drabble is an acclaimed English novelist, biographer, and critic known for her psychologically rich portrayals of contemporary British life.
  • C. Anne Hollinghurst
    Anne Hollinghurst is a British Anglican bishop who serves in the Church of England and is known for her episcopal leadership and pastoral ministry.
  • D. Beryl Bainbridge
    Beryl Bainbridge was an acclaimed English novelist and playwright known for her darkly comic, psychologically incisive fiction often set in postwar Britain.
  • E. Jennifer Haigh
    Jennifer Haigh is an American novelist and short story writer known for her character-driven literary fiction exploring family, class, and the impact of the energy industry on small-town life.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf85a74081909eb08751fc55ce8f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75490291c8190b5985d8c90ef1af6 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.