Triple

T10660572
Position Surface form Disambiguated ID Type / Status
Subject Hasnat Khan E251212 entity
Predicate name P16 FINISHED
Object Hasnat Ahmad Khan E251212 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: Hasnat Ahmad Khan | Statement: [Hasnat Khan, name, Hasnat Ahmad Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hasnat Ahmad Khan
Context triple: [Hasnat Khan, name, Hasnat Ahmad Khan]
  • A. Hasnat Khan chosen
    Hasnat Khan is a British-Pakistani heart surgeon best known for his romantic relationship with Diana, Princess of Wales.
  • B. Mohammed Aamir Hussain Khan
    Mohammed Aamir Hussain Khan, better known as Aamir Khan, is a highly acclaimed Indian film actor, producer, and director renowned for his influential roles and socially conscious, commercially successful movies in Bollywood.
  • C. 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.
  • D. 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.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e017f97c8190b22765a6f1e6719d completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a8cabc88190b430cb08ed0fc515 completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:07 p.m.