Triple

T7122337
Position Surface form Disambiguated ID Type / Status
Subject Shatranj Ke Khilari E165976 entity
Predicate stars P1956 FINISHED
Object Victor Banerjee E349131 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: Victor Banerjee | Statement: [Shatranj Ke Khilari, stars, Victor Banerjee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victor Banerjee
Context triple: [Shatranj Ke Khilari, stars, Victor Banerjee]
  • A. Victor Banerjee chosen
    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.
  • B. Ash Mukherjee
    Ash Mukherjee is a character in the British television drama series "It's a Sin," which explores the lives of young gay men during the 1980s AIDS crisis in London.
  • C. 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.
  • D. Sanjay Banerji
    Sanjay Banerji is an economist and academic recognized for his scholarly contributions associated with the Delhi School of Economics.
  • E. 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.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e6493fd88190b0c066a2ad74917c completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eec29d8c81909d9123b48b195f98 completed March 28, 2026, 3:07 p.m.
Created at: March 27, 2026, 2:44 p.m.