Triple

T21341551
Position Surface form Disambiguated ID Type / Status
Subject Dilip Chitre E526205 entity
Predicate fullName P16 FINISHED
Object Dilip Purushottam Chitre 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: Dilip Purushottam Chitre | Statement: [Dilip Chitre, fullName, Dilip Purushottam Chitre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dilip Purushottam Chitre
Context triple: [Dilip Chitre, fullName, Dilip Purushottam Chitre]
  • A. Dinesh Nandan Sahay
    Dinesh Nandan Sahay was an Indian politician and former police officer who became the inaugural Governor of the state of Chhattisgarh.
  • B. Dilip Chitre chosen
    Dilip Chitre was a prominent Indian poet, translator, and filmmaker known for his influential Marathi and English writings and his role in modern Indian literature.
  • C. Jagdish Prasad Mathur
    Jagdish Prasad Mathur was an Indian politician and key early leader instrumental in shaping the ideology and organization of the Bharatiya Janata Party (BJP).
  • D. Mahadev Sahai
    Mahadev Sahai was the father of Rajendra Prasad, the first President of independent India.
  • E. Chandrakant Kulkarni
    Chandrakant Kulkarni is a prominent Indian director, actor, and producer known for his influential work in Marathi theatre and cinema.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5ba7ce3c8190ba5ded980a9866f2 completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 4:44 p.m.