Triple

T5462410
Position Surface form Disambiguated ID Type / Status
Subject Indian parallel cinema E122622 entity
Predicate notableFilm P22 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: [Indian parallel cinema, notableFilm, Nishant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nishant
Context triple: [Indian parallel cinema, notableFilm, 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. Nikhilesh
    Nikhilesh is the introspective, progressive zamindar whose emotional and ideological journey anchors Rabindranath Tagore’s novel "Ghare-Baire" ("The Home and the World").
  • C. Naveen
    Naveen is a male given name commonly used in South Asian cultures, particularly in India.
  • D. Suraj Sharma
    Suraj Sharma is an Indian actor best known for his breakout performance as the shipwrecked teenager Pi Patel in Ang Lee’s acclaimed film "Life of Pi."
  • E. Sanjay
    Sanjay is the given name of Sanjay Gandhi, an influential and controversial Indian politician and son of former Prime Minister Indira Gandhi.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92033dd08190a90bcae6b9f149d3 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf488866088190b213bd641f8b247c completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:08 p.m.