Triple

T1368885
Position Surface form Disambiguated ID Type / Status
Subject The Moor's Last Sigh E30065 entity
Predicate author P4 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: [The Moor's Last Sigh, author, Salman Rushdie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salman Rushdie
Context triple: [The Moor's Last Sigh, author, 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. Arundhati Roy
    Arundhati Roy is an Indian author and activist best known for her Booker Prize–winning novel "The God of Small Things" and her outspoken political commentary on social and environmental justice.
  • E. J. M. Coetzee
    J. M. Coetzee is a South African-born novelist, essayist, and Nobel Prize in Literature laureate renowned for his austere, morally probing fiction exploring power, cruelty, and the human condition.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d497f88190993d16a208ced43d completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce7ae56c8190970bacb061a71798 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:57 p.m.