Triple

T11268329
Position Surface form Disambiguated ID Type / Status
Subject Peshawar Zalmi E266745 entity
Predicate formerCaptain P47959 FINISHED
Object Wahab Riaz E655230 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: Wahab Riaz | Statement: [Peshawar Zalmi, formerCaptain, Wahab Riaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wahab Riaz
Context triple: [Peshawar Zalmi, formerCaptain, Wahab Riaz]
  • A. Wahab Riaz chosen
    Wahab Riaz is a Pakistani left-arm fast bowler known for his aggressive pace, fiery spells in international cricket, and standout performances in limited-overs formats.
  • B. Ahmed Shehzad
    Ahmed Shehzad is a Pakistani cricketer and aggressive opening batsman known for representing Pakistan in all formats and for his flamboyant batting style.
  • C. Mohammad Imran Tahir
    Mohammad Imran Tahir is a South African cricketer of Pakistani origin, best known as a leg-spin bowler who has represented South Africa in all formats of international cricket.
  • D. 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.
  • E. Tariq Anwar
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94f60d48190bc925c3cb88641a8 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f4229c7081909da6b22ee6bf4905 completed April 19, 2026, 3:26 p.m.
Created at: April 8, 2026, 9:31 p.m.