Triple

T7991266
Position Surface form Disambiguated ID Type / Status
Subject Bibhutibhushan Bandyopadhyay E186010 entity
Predicate wrote P2831 FINISHED
Object Aranyak E702890 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: Aranyak | Statement: [Bibhutibhushan Bandyopadhyay, wrote, Aranyak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aranyak
Context triple: [Bibhutibhushan Bandyopadhyay, wrote, Aranyak]
  • A. Aranyak chosen
    Aranyak is a celebrated Bengali novel that vividly portrays life, nature, and human relationships in the forests of rural Bihar.
  • B. Bajrangbali
    Bajrangbali is a revered form of the Hindu deity Hanuman, worshipped as a symbol of strength, devotion, and protection.
  • C. Chitrahaar
    Chitrahaar is a long-running Indian television program that showcases popular Bollywood film songs, traditionally broadcast on the national public broadcaster Doordarshan.
  • D. Safed Haathi
    Safed Haathi is an Indian children's adventure film, best known for its heartwarming story about a boy's bond with a white elephant and its direction by acclaimed filmmaker Tapan Sinha.
  • E. Kapurush
    Kapurush is a 1965 Bengali drama film directed by Satyajit Ray, known for its nuanced exploration of moral cowardice and complex human relationships.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c6fc19c8190b98023e257c2f4f2 completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc568393008190b8ff6cc17f9b5c46 completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:16 p.m.