Triple

T22273905
Position Surface form Disambiguated ID Type / Status
Subject Sholay E550550 entity
Predicate lyricist P1360 FINISHED
Object Anand Bakshi 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: Anand Bakshi | Statement: [Sholay, lyricist, Anand Bakshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anand Bakshi
Context triple: [Sholay, lyricist, Anand Bakshi]
  • A. Anand Bakshi chosen
    Anand Bakshi was a prolific and celebrated Indian lyricist who wrote songs for hundreds of Hindi films over several decades.
  • B. Alok Nath
    Alok Nath is an Indian film and television actor best known for his frequent portrayals of traditional, patriarchal father figures in Hindi cinema and TV serials.
  • C. Suresh Ayyar
    Suresh Ayyar is an editor known for his work on the acclaimed Australian memoir "Romulus, My Father."
  • D. Ramakant Achrekar
    Ramakant Achrekar was a renowned Indian cricket coach best known for mentoring legendary batsman Sachin Tendulkar and nurturing several other prominent Mumbai cricketers.
  • E. Kumar Shahani
    Kumar Shahani is an Indian filmmaker and theorist known for his pioneering work in the Indian New Wave and his formally experimental, intellectually rigorous cinema.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea547e4819098baf88f3c605242 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.