Triple

T4544115
Position Surface form Disambiguated ID Type / Status
Subject Iris E110006 entity
Predicate subject P450 FINISHED
Object John Bayley E451936 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: John Bayley | Statement: [Iris, subject, John Bayley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Bayley
Context triple: [Iris, subject, John Bayley]
  • A. John Bayley chosen
    John Bayley was a British literary critic and memoirist best known for his writings about his wife, novelist Iris Murdoch, and their life together.
  • B. Alec Waugh
    Alec Waugh was a British novelist and travel writer, known for works such as "Island in the Sun" and for being the elder brother of author Evelyn Waugh.
  • C. Julian Bell
    Julian Bell was a British poet, essayist, and member of the Bloomsbury Group who was killed while serving as an ambulance driver in the Spanish Civil War.
  • D. Ronan Bennett
    Ronan Bennett is an Irish novelist, screenwriter, and journalist known for his politically charged fiction and work on film and television dramas.
  • E. Charles Saumarez Smith
    Charles Saumarez Smith is a British art historian and museum director known for leading major cultural institutions in the United Kingdom.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57d517e881909c3d23ed4453b0a7 completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc564452c819080beada43c9ba7b1 completed March 20, 2026, 10:08 p.m.
Created at: March 20, 2026, 1:05 p.m.