Triple

T7730282
Position Surface form Disambiguated ID Type / Status
Subject Apur Sansar E175230 entity
Predicate cinematographer P1953 FINISHED
Object Subrata Mitra E644972 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: Subrata Mitra | Statement: [Apur Sansar, cinematographer, Subrata Mitra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Subrata Mitra
Context triple: [Apur Sansar, cinematographer, Subrata Mitra]
  • A. Subrata Mitra chosen
    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.
  • B. Sanjib Bhattacharyya
    Sanjib Bhattacharyya is an economist and academic recognized as a notable scholar associated with the Delhi School of Economics.
  • 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. Subhasis Chaudhuri
    Subhasis Chaudhuri is an Indian academic and electrical engineer known for his research in computer vision and image processing and for serving as director of the Indian Institute of Technology Bombay.
  • E. Pijush Bandyopadhyay
    Pijush Bandyopadhyay is a Bangladeshi actor, director, and cultural activist known for his work in film, television, 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703358cf881909df8496d943d6de7 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c968cfdb1081908961f825b616a708 completed March 29, 2026, 6 p.m.
Created at: March 27, 2026, 4:06 p.m.