Triple

T19273230
Position Surface form Disambiguated ID Type / Status
Subject Shyam Benegal E481980 entity
Predicate notableWork P4 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: [Shyam Benegal, notableWork, Nishant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nishant
Context triple: [Shyam Benegal, 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. 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbba7758819081c1c78667c59c5e completed April 20, 2026, 10:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e748ba48190bc2a17906f7ad842 completed May 15, 2026, 12:15 p.m.
Created at: April 10, 2026, 1:29 p.m.