Triple

T6084900
Position Surface form Disambiguated ID Type / Status
Subject Virat Kohli E135612 entity
Predicate hasWon P2624 FINISHED
Object Arjuna Award E545500 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: Arjuna Award | Statement: [Virat Kohli, hasWon, Arjuna Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arjuna Award
Context triple: [Virat Kohli, hasWon, Arjuna Award]
  • A. Arjuna Award chosen
    The Arjuna Award is one of India’s highest sporting honors, recognizing outstanding achievement and consistent excellence by the country’s athletes across various disciplines.
  • B. Dadasaheb Phalke Award
    The Dadasaheb Phalke Award is India’s highest honor in cinema, presented annually to recognize lifetime contribution to the growth and development of Indian film.
  • C. Sangeet Natak Akademi Award
    The Sangeet Natak Akademi Award is India’s national-level honor recognizing outstanding achievement in the fields of music, dance, and drama.
  • D. Rajiv Gandhi Khel Ratna
    The Rajiv Gandhi Khel Ratna is India’s highest sporting honor, awarded annually for the most outstanding performance in sports at the international level.
  • E. Dronacharya Award
    The Dronacharya Award is a prestigious Indian national sports honor presented annually to outstanding coaches for their exemplary contribution to the training and development of sportspersons.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057891dc88190997c4e32b2261fb3 completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d5c743c81908a3454af2caa10a1 completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:12 p.m.