Triple

T16615173
Position Surface form Disambiguated ID Type / Status
Subject RSL Benson Medal E403678 entity
Predicate notableRecipient P108 FINISHED
Object Salman Rushdie E4474 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: Salman Rushdie | Statement: [RSL Benson Medal, notableRecipient, Salman Rushdie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salman Rushdie
Context triple: [RSL Benson Medal, 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 (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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3609935a88190baa56f3a42b2ecd1 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075aeaa9881908bdef0f9f2b52e60 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:17 a.m.