Triple

T19273229
Position Surface form Disambiguated ID Type / Status
Subject Shyam Benegal E481980 entity
Predicate notableWork P4 FINISHED
Object Ankur E481982 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: Ankur | Statement: [Shyam Benegal, notableWork, Ankur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ankur
Context triple: [Shyam Benegal, notableWork, Ankur]
  • A. Ankur chosen
    Ankur is a landmark 1974 Indian Hindi-language film directed by Shyam Benegal that helped launch the parallel cinema movement in India.
  • B. Anish
    Anish is a given name most notably associated with Anish Kapoor, the British-Indian sculptor renowned for his large-scale, often reflective and abstract public artworks.
  • C. Ankur Tewari
    Ankur Tewari is an Indian singer-songwriter, composer, and filmmaker best known for his work on the soundtrack of the film "Gully Boy" and his contributions to the independent music scene.
  • D. Vivek
    Vivek is a common Indian male given name, notably borne by entrepreneur and NBA team owner Vivek Ranadivé.
  • E. Nishant
    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.
  • 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.