Triple

T21110864
Position Surface form Disambiguated ID Type / Status
Subject Basu Chatterjee E520166 entity
Predicate name P16 FINISHED
Object Basu 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: Basu Chatterjee | Statement: [Basu Chatterjee, name, Basu Chatterjee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basu Chatterjee
Context triple: [Basu Chatterjee, name, Basu Chatterjee]
  • A. Basu Chatterjee chosen
    Basu Chatterjee was an acclaimed Indian film director known for his gentle, middle-class-centric storytelling and key contributions to the Hindi New Wave and light-hearted social comedies of the 1970s and 1980s.
  • B. Bablu Chakraborty
    Bablu Chakraborty is a music composer known for his work on the Hindi film "Dil Vil Pyar Vyar."
  • C. Kalyan Chatterjee
    Kalyan Chatterjee is an Indian actor known for his work in Bengali cinema and theatre.
  • D. Kumudlal Ganguly
    Kumudlal Ganguly, better known by his screen name Ashok Kumar, was a pioneering and acclaimed Indian film actor who became one of Bollywood’s earliest superstars.
  • 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 (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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72101f7308190beb202a052ff04d2 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.