Triple

T23224337
Position Surface form Disambiguated ID Type / Status
Subject Bengali popular culture E580976 entity
Predicate hasKeyFigure P810 FINISHED
Object Rituparna Sengupta 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: Rituparna Sengupta | Statement: [Bengali popular culture, hasKeyFigure, Rituparna Sengupta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rituparna Sengupta
Context triple: [Bengali popular culture, hasKeyFigure, Rituparna Sengupta]
  • A. Rituparna Sengupta chosen
    Rituparna Sengupta is a prominent Indian film actress best known for her extensive and acclaimed work in Bengali cinema.
  • B. Nandita Sengupta
    Nandita Sengupta is a pivotal character in the Bollywood action film "Gunday," serving as the love interest whose involvement complicates the relationship between the two outlaw protagonists.
  • C. Priya Basu
    Priya Basu is an economist and development finance expert known for her work on financial inclusion and policy at institutions such as the World Bank.
  • D. Nandana Sen
    Nandana Sen is an Indian actress, writer, and child-rights activist known for her work in international and Bollywood films as well as her advocacy for children's welfare.
  • E. Nandita Das
    Nandita Das is an acclaimed Indian actress and filmmaker known for her powerful performances in parallel cinema and her socially conscious directorial work, including the films "Firaaq" and "Manto."
  • 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.