Triple

T7660404
Position Surface form Disambiguated ID Type / Status
Subject Meghe Dhaka Tara E173488 entity
Predicate castMember P1668 FINISHED
Object Anil Chatterjee E655976 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: Anil Chatterjee | Statement: [Meghe Dhaka Tara, castMember, Anil Chatterjee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anil Chatterjee
Context triple: [Meghe Dhaka Tara, castMember, Anil Chatterjee]
  • A. Anil Chatterjee chosen
    Anil Chatterjee was an Indian actor known for his prominent roles in Bengali cinema, particularly in the films of Satyajit Ray and other leading directors of his time.
  • B. Laxman Narasimhan
    Laxman Narasimhan is an Indian-American business executive best known as the chief executive officer of Starbucks and former CEO of Reckitt Benckiser.
  • C. Subrata Mitra
    Subrata Mitra was an acclaimed Indian cinematographer best known for his pioneering visual work on Satyajit Ray’s films, which helped define the look of parallel cinema.
  • D. Victor Banerjee
    Victor Banerjee is an Indian actor known for his acclaimed performances in both Indian and international cinema, including major roles in films by directors such as David Lean and Satyajit Ray.
  • E. Sarbajit Banerjee
    Sarbajit Banerjee is a chemist known for his research in materials chemistry, particularly on phase transitions and electronic properties of transition metal oxides.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701a47a5c8190867e39f552c86787 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b14b6848190892a262903d78b79 completed March 29, 2026, 3:23 a.m.
Created at: March 27, 2026, 3:59 p.m.