Triple

T7772177
Position Surface form Disambiguated ID Type / Status
Subject Tapan Sinha E179098 entity
Predicate notableWork P4 FINISHED
Object Kabuliwala E42626 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: Kabuliwala | Statement: [Tapan Sinha, notableWork, Kabuliwala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabuliwala
Context triple: [Tapan Sinha, notableWork, Kabuliwala]
  • A. Kabuliwala chosen
    Kabuliwala is a celebrated short story by Rabindranath Tagore that portrays the poignant bond between an Afghan fruit seller and a young Bengali girl, exploring themes of fatherhood, separation, and human connection.
  • B. Haji
    Haji is an Islamic honorific title granted to a Muslim who has completed the pilgrimage to Mecca (Hajj).
  • C. Fida'i
    Fida'i is the national anthem of the State of Palestine, expressing Palestinian identity, struggle, and aspirations for freedom and self-determination.
  • D. Bisher Bashi
    Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
  • E. Sarfarosh
    Sarfarosh is a 1999 Indian Hindi-language action drama film acclaimed for its gritty portrayal of cross-border terrorism and for featuring Aamir Khan in a powerful lead role as an honest police officer.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7046048688190a6cbc64e82b58eca completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7ee407881908e591d216c504b24 completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:11 p.m.