Triple

T21330845
Position Surface form Disambiguated ID Type / Status
Subject Mohan Agashe E525893 entity
Predicate notableWork P4 FINISHED
Object Nishant 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: Nishant | Statement: [Mohan Agashe, notableWork, Nishant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nishant
Context triple: [Mohan Agashe, notableWork, Nishant]
  • A. Nishant chosen
    Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
  • B. Nikhil
    Nikhil is an individual whose ideological views differ significantly from those held by Sandip.
  • C. Nikhil
    Nikhil is a person known primarily as the spouse of Bimala.
  • D. Nishant Kumar
    Nishant Kumar is known as the son of Indian politician and longtime Bihar Chief Minister Nitish Kumar.
  • E. Varun
    Varun is an Indian politician and member of the Nehru–Gandhi family, known for his role in national politics and parliamentary representation.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab5177dc8190b888351e9a45b45f completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:42 p.m.