Triple

T21944764
Position Surface form Disambiguated ID Type / Status
Subject Virasat E541906 entity
Predicate editor P1954 FINISHED
Object N. Gopalakrishnan 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: N. Gopalakrishnan | Statement: [Virasat, editor, N. Gopalakrishnan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N. Gopalakrishnan
Context triple: [Virasat, editor, N. Gopalakrishnan]
  • A. N. Gopalakrishnan chosen
    N. Gopalakrishnan is a film editor known for his work in Indian cinema, including editing the movie "Gardish."
  • B. S. Gopalakrishnan
    S. Gopalakrishnan is an Indian billionaire businessman and technology leader best known as a co-founder and former executive of the global IT services company Infosys.
  • C. N. Srinivasan
    N. Srinivasan is an Indian industrialist and cricket administrator who rose to prominence as a powerful figure in world cricket governance.
  • D. N. S. Raghavan
    N. S. Raghavan is an Indian entrepreneur best known as one of the co-founders of the global IT services company Infosys.
  • E. T. Natarajan
    T. Natarajan is an Indian left-arm fast bowler known for his yorkers and death-overs bowling, who rose to prominence in the IPL and went on to represent the Indian national cricket team.
  • 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.