Triple

T20351271
Position Surface form Disambiguated ID Type / Status
Subject Ek Din Pratidin E496015 entity
Predicate editedBy P1954 FINISHED
Object Gangadhar Naskar 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: Gangadhar Naskar | Statement: [Ek Din Pratidin, editedBy, Gangadhar Naskar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gangadhar Naskar
Context triple: [Ek Din Pratidin, editedBy, Gangadhar Naskar]
  • A. Gangadhar Naskar chosen
    Gangadhar Naskar is an editor known for his work on the Bengali film "Calcutta 71."
  • B. Bhabananda Das
    Bhabananda Das is an Indian writer whose work inspired the film "Mrigayaa."
  • C. Amlānand Ghosh
    Amlānand Ghosh was an Indian archaeologist noted for his pioneering work on Indus Valley Civilization sites, including the early excavation and identification of Kalibangan.
  • 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. Gadadhar Chattopadhyay
    Gadadhar Chattopadhyay, better known as Sri Ramakrishna, was a 19th-century Indian mystic and spiritual teacher whose life and teachings inspired the Ramakrishna Movement.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6784f8ff48190a070888786f6a989 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.