Triple

T20237551
Position Surface form Disambiguated ID Type / Status
Subject Suchitra Sen E498190 entity
Predicate spouse P13 FINISHED
Object Dibanath Sen 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: Dibanath Sen | Statement: [Suchitra Sen, spouse, Dibanath Sen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dibanath Sen
Context triple: [Suchitra Sen, spouse, Dibanath Sen]
  • A. Dibanath Sen chosen
    Dibanath Sen was the husband of legendary Indian Bengali film actress Suchitra Sen, belonging to a prominent Bengali family.
  • B. Bireswar Sen
    Bireswar Sen is an Indian actor known for his roles in Bengali cinema and television.
  • C. Sukumar Sen
    Sukumar Sen was an Indian civil servant who oversaw the country’s first general elections as its inaugural Chief Election Commissioner, helping to establish the foundations of India’s electoral democracy.
  • D. Gopabandhu Das
    Gopabandhu Das was an eminent Indian freedom fighter, social worker, journalist, and poet from Odisha, revered as “Utkalmani” for his contributions to education, social reform, and the nationalist movement.
  • E. Chittaprosad Das
    Chittaprosad Das was an Indian artist and political cartoonist known for his sharp anti-colonial and socially critical works, particularly his graphic documentation of the Bengal Famine of 1943.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716b4c148190bf663b8a747fbfa5 completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.