Triple

T22433776
Position Surface form Disambiguated ID Type / Status
Subject Overtures to Death E554562 entity
Predicate associatedWith P37 FINISHED
Object Cecil Day-Lewis 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: Cecil Day-Lewis | Statement: [Overtures to Death, associatedWith, Cecil Day-Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cecil Day-Lewis
Context triple: [Overtures to Death, associatedWith, Cecil Day-Lewis]
  • A. Cecil Day-Lewis chosen
    Cecil Day-Lewis was a prominent 20th-century Anglo-Irish poet and novelist who served as Poet Laureate of the United Kingdom.
  • B. John Betjeman
    John Betjeman was a British poet, writer, and broadcaster who served as Poet Laureate of the United Kingdom from 1972 until his death.
  • C. Louis MacNeice
    Louis MacNeice was a 20th-century Irish-born British poet and playwright associated with the Auden Group, known for his lyrical, socially aware verse and radio dramas.
  • D. Robert Bridges
    Robert Bridges was an English poet and literary critic best known for serving as Poet Laureate of the United Kingdom in the early 20th century.
  • E. Osbert Sitwell
    Osbert Sitwell was a British writer and poet, best known as part of the prominent literary Sitwell family and for his satirical and autobiographical works.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15adce9688190992ad0ca15883931 completed April 29, 2026, 1:11 a.m.
Created at: April 16, 2026, 8:47 p.m.