Triple

T22433394
Position Surface form Disambiguated ID Type / Status
Subject Mukti Bhawan E554552 entity
Predicate director P255 FINISHED
Object Shubhashish Bhutiani 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: Shubhashish Bhutiani | Statement: [Mukti Bhawan, director, Shubhashish Bhutiani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shubhashish Bhutiani
Context triple: [Mukti Bhawan, director, Shubhashish Bhutiani]
  • A. Shubhashish Bhutiani chosen
    Shubhashish Bhutiani is an Indian filmmaker best known for his acclaimed feature film "Hotel Salvation" (original title "Mukti Bhawan").
  • B. Sabyasachi Saha
    Sabyasachi Saha is an individual notable enough to be specifically distinguished as a bearer of the surname Saha.
  • C. Sudip Roy
    Sudip Roy is an Indian music composer known for his work on the political drama film "The Accidental Prime Minister."
  • D. Arunava Saha
    Arunava Saha is a person whose name is notably associated with the surname Saha, though specific widely recognized public details about him are not clearly established.
  • E. Sudip Bandyopadhyay
    Sudip Bandyopadhyay is an Indian politician and long-time parliamentarian from West Bengal known for his senior leadership role in the Trinamool Congress.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15adce9688190992ad0ca15883931 completed April 29, 2026, 1:11 a.m.
Created at: April 16, 2026, 8:47 p.m.