Triple

T23224285
Position Surface form Disambiguated ID Type / Status
Subject Bengali popular culture E580976 entity
Predicate hasKeyFigure P810 FINISHED
Object Srijit Mukherji 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: Srijit Mukherji | Statement: [Bengali popular culture, hasKeyFigure, Srijit Mukherji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Srijit Mukherji
Context triple: [Bengali popular culture, hasKeyFigure, Srijit Mukherji]
  • A. Srijit Mukherji chosen
    Srijit Mukherji is an acclaimed Indian filmmaker and screenwriter known for his influential and genre-diverse work in contemporary Bengali cinema.
  • B. Mithun Chakraborty
    Mithun Chakraborty is a renowned Indian actor and former Bollywood superstar known for his versatile performances across Hindi and Bengali cinema, as well as his iconic dancing style.
  • C. Tarun Chatterjee
    Tarun Chatterjee is a former judge of the Supreme Court of India known for his role in significant constitutional and civil law cases.
  • D. Krishna Mukherjee
    Krishna Mukherjee is the mother of acclaimed Indian film actress Rani Mukerji and a member of the prominent Mukherjee-Samarth family in Bollywood.
  • E. Jisshu Sengupta
    Jisshu Sengupta is an Indian actor and television presenter best known for his work in Bengali cinema and notable roles in Hindi films and web series.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922b4a348190ae570a869e30059f completed April 29, 2026, 5:07 a.m.
Created at: April 17, 2026, 4:08 p.m.