Triple

T19245474
Position Surface form Disambiguated ID Type / Status
Subject Yazz E481238 entity
Predicate createdBy P806 FINISHED
Object Bernardine Evaristo 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: Bernardine Evaristo | Statement: [Yazz, createdBy, Bernardine Evaristo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernardine Evaristo
Context triple: [Yazz, createdBy, Bernardine Evaristo]
  • A. Bernardine Evaristo chosen
    Bernardine Evaristo is a British writer and academic best known for her innovative, genre-blending fiction exploring Black British experiences and identity.
  • B. Andrea Levy
    Andrea Levy was an acclaimed British novelist known for her insightful explorations of the Black British experience, particularly the lives of the Windrush generation.
  • C. A. S. Byatt
    A. S. Byatt was an acclaimed English novelist, critic, and academic best known for her Booker Prize-winning novel "Possession" and her intellectually rich, intertextual fiction.
  • D. A. L. Kennedy
    A. L. Kennedy is a Scottish writer and stand-up comedian known for her darkly comic, psychologically incisive fiction and essays.
  • E. Margaret Drabble
    Margaret Drabble is an acclaimed English novelist, biographer, and critic known for her psychologically rich portrayals of contemporary British life.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb2c34e88190a338e5a7ba906425 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:27 p.m.