Triple

T22111454
Position Surface form Disambiguated ID Type / Status
Subject Mahabharat (TV series) E546426 entity
Predicate stars P1956 FINISHED
Object Roopa Ganguly 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: Roopa Ganguly | Statement: [Mahabharat (TV series), stars, Roopa Ganguly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roopa Ganguly
Context triple: [Mahabharat (TV series), stars, Roopa Ganguly]
  • A. Rupa Ganguly chosen
    Rupa Ganguly is an Indian actress and singer best known for her acclaimed work in Bengali cinema and television, including her iconic portrayal of Draupadi in the TV series "Mahabharat."
  • B. 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.
  • C. 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."
  • 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 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.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12949cc7881908898ca7dc130f57f completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.