Triple

T18207898
Position Surface form Disambiguated ID Type / Status
Subject Guardian Fiction Prize E435952 entity
Predicate notableRecipient P108 FINISHED
Object Salman Rushdie 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: Salman Rushdie | Statement: [Guardian Fiction Prize, notableRecipient, Salman Rushdie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salman Rushdie
Context triple: [Guardian Fiction Prize, notableRecipient, Salman Rushdie]
  • A. Salman Rushdie chosen
    Salman Rushdie is a British-Indian novelist and essayist renowned for his magical realist works, particularly "Midnight's Children" and the controversial "The Satanic Verses."
  • B. Zafar Rushdie
    Zafar Rushdie is a British public relations executive and the son of novelist Salman Rushdie.
  • C. Milan Rushdie
    Milan Rushdie is one of the sons of renowned British-Indian novelist Salman Rushdie.
  • D. Hanif Kureishi
    Hanif Kureishi is a British novelist, screenwriter, and playwright known for works exploring race, identity, and postcolonial life in contemporary Britain, such as "My Beautiful Laundrette" and "The Buddha of Suburbia."
  • E. Tahir Hussain
    Tahir Hussain was an Indian film producer and director in the Hindi film industry, best known as the father of actor Aamir Khan.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e2261a848190b62a8485009f8f38 completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.