Triple

T23035629
Position Surface form Disambiguated ID Type / Status
Subject 2012 Asia Cup E573585 entity
Predicate mostWicketsTakenBy P23687 FINISHED
Object Umar Gul 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: Umar Gul | Statement: [2012 Asia Cup, mostWicketsTakenBy, Umar Gul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umar Gul
Context triple: [2012 Asia Cup, mostWicketsTakenBy, Umar Gul]
  • A. Umar Gul chosen
    Umar Gul is a former Pakistani fast bowler renowned for his lethal death bowling in limited-overs cricket and later work as a bowling coach.
  • B. Javed Afridi
    Javed Afridi is a Pakistani businessman and entrepreneur best known for his leadership role at Haier Pakistan and his prominent involvement in cricket franchise ownership and sports promotion.
  • C. Waqar Younis
    Waqar Younis is a legendary Pakistani fast bowler renowned for his devastating reverse swing and prolific wicket-taking, particularly in one-day internationals.
  • D. Shahid Afridi
    Shahid Afridi is a former Pakistani cricketer renowned for his explosive batting, leg-spin bowling, and record-breaking performances in limited-overs cricket.
  • E. Mohammad Akram
    Mohammad Akram is a former Pakistani fast bowler and cricket coach who has served in various coaching and mentoring roles at domestic and international levels.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1850df7fc81909ee522d99d96af0d completed April 29, 2026, 4:11 a.m.
Created at: April 17, 2026, 3:53 p.m.