Triple

T7916427
Position Surface form Disambiguated ID Type / Status
Subject Chhabi Biswas E183838 entity
Predicate workedWith P398 FINISHED
Object Tapan Sinha E179098 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: Tapan Sinha | Statement: [Chhabi Biswas, workedWith, Tapan Sinha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tapan Sinha
Context triple: [Chhabi Biswas, workedWith, Tapan Sinha]
  • A. Tapan Sinha chosen
    Tapan Sinha was a renowned Indian film director celebrated for his socially conscious and critically acclaimed works in Bengali cinema.
  • B. Manish Ghatak
    Manish Ghatak was an Indian writer and poet associated with the Kallol literary movement in Bengali literature and part of a prominent cultural family that included filmmaker Ritwik Ghatak.
  • C. Hrishikesh Mukherjee
    Hrishikesh Mukherjee was a celebrated Indian film director and editor, best known for his warm, middle-class family dramas and comedies in Hindi cinema from the 1960s to the 1980s.
  • D. Bimal Parekh
    Bimal Parekh is an Indian businessman and co-owner of the Indian Super League football club Mumbai City FC.
  • E. M.S. Sathyu
    M.S. Sathyu is an acclaimed Indian film director best known for his socially conscious and politically charged works, including the landmark film "Garm Hava," which helped define the parallel cinema movement.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a76ae688190b068e4c92603a16d completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63a8b7cc8190b18a43b7d610fd55 completed April 1, 2026, 12:15 a.m.
Created at: March 30, 2026, 5:05 p.m.