Triple

T16842434
Position Surface form Disambiguated ID Type / Status
Subject Nish Kumar E409445 entity
Predicate givenName P17 FINISHED
Object Nishant E122619 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: Nishant | Statement: [Nish Kumar, givenName, Nishant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nishant
Context triple: [Nish Kumar, givenName, 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 a person known primarily as the spouse of Bimala.
  • C. Nikhil
    Nikhil is an individual whose ideological views differ significantly from those held by Sandip.
  • D. Varun
    Varun is an Indian politician and member of the Nehru–Gandhi family, known for his role in national politics and parliamentary representation.
  • E. Nikhilesh
    Nikhilesh is the introspective, progressive zamindar whose emotional and ideological journey anchors Rabindranath Tagore’s novel "Ghare-Baire" ("The Home and the World").
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b35167a48190b45a459023e3ab1b completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a3296c8190978c1809264f66e1 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:24 a.m.