Triple

T18331298
Position Surface form Disambiguated ID Type / Status
Subject Hasan Ali Toptaş E439146 entity
Predicate givenName P17 FINISHED
Object Hasan Ali 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: Hasan Ali | Statement: [Hasan Ali Toptaş, givenName, Hasan Ali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hasan Ali
Context triple: [Hasan Ali Toptaş, givenName, Hasan Ali]
  • A. Hasan Ali chosen
    Hasan Ali is a Pakistani fast bowler known for his aggressive wicket-taking ability and key performances in international cricket and domestic T20 leagues.
  • B. Shoaib Akhtar
    Shoaib Akhtar is a former Pakistani fast bowler renowned as one of the fastest and most fearsome pace bowlers in cricket history.
  • C. Muhammad Wasim
    Muhammad Wasim was a Pakistani legal figure who became the country’s inaugural Attorney-General, helping to establish the role and its early precedents in Pakistan’s legal system.
  • D. Imran Tahir
    Imran Tahir is a South African cricketer of Pakistani origin, renowned as a prolific leg-spin bowler in international limited-overs cricket.
  • E. Shoaib Malik
    Shoaib Malik is a Pakistani international cricketer and former national team captain known for his long career as a versatile batting all-rounder in limited-overs formats.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50eca08388190b4e757a5f63b5d41 completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.