Triple

T20419828
Position Surface form Disambiguated ID Type / Status
Subject Nitish Kumar E500816 entity
Predicate givenName P17 FINISHED
Object Nitish 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: Nitish | Statement: [Nitish Kumar, givenName, Nitish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nitish
Context triple: [Nitish Kumar, givenName, Nitish]
  • A. Nitish Roy
    Nitish Roy is an Indian art director and production designer known for his work on numerous acclaimed films and television projects.
  • B. Nitish Kumar chosen
    Nitish Kumar is an Indian politician who has served multiple terms as Chief Minister of Bihar and is a prominent leader in regional and national politics.
  • C. Jayant Sinha
    Jayant Sinha is an Indian politician and former Minister of State for Finance and Civil Aviation, known for his role in economic and policy reforms.
  • D. Chirag Paswan
    Chirag Paswan is an Indian politician and Member of Parliament from Bihar, known for leading the Lok Janshakti Party and being the son of veteran leader Ram Vilas Paswan.
  • E. Ranbir Singh Hooda
    Ranbir Singh Hooda was an Indian freedom fighter and politician from Haryana, known for his role in the independence movement and as the father of former Chief Minister Bhupinder Singh Hooda.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba39f7081909358f1103a0f241c completed April 20, 2026, 7:16 p.m.
Created at: April 16, 2026, 11:30 a.m.