Triple

T23224280
Position Surface form Disambiguated ID Type / Status
Subject Bengali popular culture E580976 entity
Predicate hasKeyFigure P810 FINISHED
Object Prosenjit Chatterjee 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: Prosenjit Chatterjee | Statement: [Bengali popular culture, hasKeyFigure, Prosenjit Chatterjee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prosenjit Chatterjee
Context triple: [Bengali popular culture, hasKeyFigure, Prosenjit Chatterjee]
  • A. Prosenjit Chatterjee chosen
    Prosenjit Chatterjee is a leading Indian actor and producer, widely regarded as one of the most prominent and influential stars in contemporary Bengali cinema.
  • B. Biswajit Chatterjee
    Biswajit Chatterjee is an Indian actor and filmmaker known for his work in Bengali and Hindi cinema, particularly from the 1960s and 1970s.
  • C. Biren Chatterjee
    Biren Chatterjee was an Indian actor known for his work in Bengali cinema, appearing in several notable films during the mid-20th century.
  • D. Amit Chatterji
    Amit Chatterji is a charming, poetry-loving intellectual and one of Lata Mehra’s principal suitors in Vikram Seth’s novel "A Suitable Boy."
  • E. Subrata Chatterjee
    Subrata Chatterjee is an Indian actor known for his work in Bengali cinema, including roles in classic films of the 1960s and 1970s.
  • 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.