Triple

T8527974
Position Surface form Disambiguated ID Type / Status
Subject Prosenjit Chatterjee E201866 entity
Predicate name P16 FINISHED
Object Prosenjit Chatterjee E201866 NE FINISHED

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: [Prosenjit Chatterjee, name, Prosenjit Chatterjee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prosenjit Chatterjee
Context triple: [Prosenjit Chatterjee, name, 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. 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.
  • C. Barin Ghosh
    Barin Ghosh, also known as Barindra Kumar Ghosh, was an Indian revolutionary associated with the early nationalist and anti-colonial movement against British rule.
  • D. Amar Lahiri
    Amar Lahiri is the father of Pulitzer Prize–winning author Jhumpa Lahiri and a key figure in her Bengali-Indian immigrant family background.
  • E. Shekhar Chatterjee
    Shekhar Chatterjee was an Indian actor known for his work in Bengali cinema and theatre.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe672e0588190a84328e1bf974f08 completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d54ef908190970a1010c8018abd completed April 2, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:17 p.m.