Triple

T22146714
Position Surface form Disambiguated ID Type / Status
Subject Zaheer Khan E547305 entity
Predicate fullName P16 FINISHED
Object Zaheer Khan 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: Zaheer Khan | Statement: [Zaheer Khan, fullName, Zaheer Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaheer Khan
Context triple: [Zaheer Khan, fullName, Zaheer Khan]
  • A. Zaheer Khan chosen
    Zaheer Khan is a former Indian fast bowler renowned for his swing, accuracy, and pivotal role in India's 2011 Cricket World Cup triumph.
  • B. Imran Tahir
    Imran Tahir is a South African cricketer of Pakistani origin, renowned as a prolific leg-spin bowler in international limited-overs cricket.
  • C. Mohammad Azharuddin
    Mohammad Azharuddin is a former Indian cricketer renowned for his elegant batting, record-breaking ODI captaincy, and later role as a politician.
  • D. Asif Afridi
    Asif Afridi is a powerful and ruthless Pakistani crime boss in the British television series "Gangs of London."
  • E. Irfan Pathan
    Irfan Pathan is a former Indian international all-rounder and left-arm swing bowler known for his prolific wicket-taking and impactful performances across formats in the mid-2000s.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f156988190bc9a24a37418e849 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.