Triple

T1392176
Position Surface form Disambiguated ID Type / Status
Subject Midnight's Children E29983 entity
Predicate narrator P2181 FINISHED
Object Saleem Sinai E160147 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: Saleem Sinai | Statement: [Midnight's Children, narrator, Saleem Sinai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saleem Sinai
Context triple: [Midnight's Children, narrator, Saleem Sinai]
  • A. Saleem Sinai chosen
    Saleem Sinai is the telepathic, large-nosed narrator and protagonist of Salman Rushdie’s novel "Midnight’s Children," whose life is inextricably linked with the history of post-independence India.
  • B. Yom Saeed
    Yom Saeed is an early Egyptian film notable for featuring the debut screen appearance of legendary actress Faten Hamama.
  • C. Nazlet El-Semman
    Nazlet El-Semman is a village on the outskirts of Giza in Egypt, best known as the primary gateway settlement to the Giza Pyramids and Sphinx plateau.
  • D. Hassan Aref
    Hassan Aref was a prominent physicist and engineer known for his pioneering contributions to fluid dynamics, particularly in vortex dynamics and chaotic advection.
  • E. Nabil Elaraby
    Nabil Elaraby is an Egyptian diplomat and jurist who has served in prominent international roles, including leadership within the Arab League and representation at the United Nations.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c360a7f08190ab7e903764b06fdf completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace56e32608190a03485d7cb5941a8 completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:59 p.m.