Triple

T21944531
Position Surface form Disambiguated ID Type / Status
Subject Gunday E541901 entity
Predicate editedBy P1954 FINISHED
Object Rameshwar S. Bhagat 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: Rameshwar S. Bhagat | Statement: [Gunday, editedBy, Rameshwar S. Bhagat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rameshwar S. Bhagat
Context triple: [Gunday, editedBy, Rameshwar S. Bhagat]
  • A. Rameshwar S. Bhagat chosen
    Rameshwar S. Bhagat is an Indian film editor known for his work on major Bollywood productions.
  • B. Mahadev Sahai
    Mahadev Sahai was the father of Rajendra Prasad, the first President of independent India.
  • C. Chandradeo Prasad Verma
    Chandradeo Prasad Verma was an Indian politician who served as a Member of Parliament representing the Arrah constituency in Bihar.
  • D. A. N. Verma
    A. N. Verma was a senior Indian civil servant who served as a key bureaucratic aide and influential advisor to the Prime Minister of India.
  • E. Mangubhai C. Patel
    Mangubhai C. Patel is an Indian politician and member of the Bharatiya Janata Party who has served in various legislative and leadership roles, including as a state governor.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242688988190a7b8f033c49368de completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.