Triple

T7122329
Position Surface form Disambiguated ID Type / Status
Subject Shatranj Ke Khilari E165976 entity
Predicate cinematographyBy P1953 FINISHED
Object Soumendu Roy E644973 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: Soumendu Roy | Statement: [Shatranj Ke Khilari, cinematographyBy, Soumendu Roy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soumendu Roy
Context triple: [Shatranj Ke Khilari, cinematographyBy, Soumendu Roy]
  • A. Soumendu Roy chosen
    Soumendu Roy was an acclaimed Indian cinematographer best known for his long association with Satyajit Ray and his work on several landmark Bengali films.
  • B. Barin Ghosh
    Barin Ghosh, also known as Barindra Kumar Ghosh, was an Indian revolutionary associated with the early nationalist and anti-colonial movement against British rule.
  • C. Tapan Bose
    Tapan Bose is an Indian human rights activist and documentary filmmaker known for his work on civil liberties, democracy, and social justice issues.
  • D. Tapan Mitra
    Tapan Mitra was an Indian economist renowned for his contributions to economic theory, particularly in growth theory and intertemporal choice.
  • E. Sourav Pal
    Sourav Pal is an accomplished Indian chemist and academic known for his contributions to theoretical and computational chemistry.
  • 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_69c7d3759a2c81908535af2a749375ca completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:44 p.m.