Triple

T8379713
Position Surface form Disambiguated ID Type / Status
Subject South Asian literature E197657 entity
Predicate notableAuthor P4290 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: [South Asian literature, notableAuthor, Salman Rushdie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salman Rushdie
Context triple: [South Asian literature, notableAuthor, 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. V. S. Naipaul
    V. S. Naipaul was a Trinidad-born British writer and Nobel laureate renowned for his incisive novels and non-fiction exploring postcolonial societies, identity, and displacement.
  • E. Vikas Swarup
    Vikas Swarup is an Indian diplomat and novelist best known for his debut novel "Q & A," which was adapted into the Oscar-winning film "Slumdog Millionaire."
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80c3dc1881908081c6a2829deb5a completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde803ac088190ae185ef444c9c7b9 completed April 2, 2026, 3:52 a.m.
Created at: March 30, 2026, 6:02 p.m.