Triple

T14876643
Position Surface form Disambiguated ID Type / Status
Subject Sania Mirza E349883 entity
Predicate spouse P13 FINISHED
Object Shoaib Malik E681132 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: Shoaib Malik | Statement: [Sania Mirza, spouse, Shoaib Malik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shoaib Malik
Context triple: [Sania Mirza, spouse, Shoaib Malik]
  • A. Shoaib Malik chosen
    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.
  • B. 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.
  • C. Shoaib Akhtar
    Shoaib Akhtar is a former Pakistani fast bowler renowned as one of the fastest and most fearsome pace bowlers in cricket history.
  • D. Hasan Ali
    Hasan Ali is a Pakistani fast bowler known for his aggressive wicket-taking ability and key performances in international cricket and domestic T20 leagues.
  • E. 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.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e4e4448190a8796573bc6d1069 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b54ad7c819082575245da07e358 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:55 a.m.