Triple

T12607775
Position Surface form Disambiguated ID Type / Status
Subject Munir Ahmad Khan E301028 entity
Predicate familyName P18 FINISHED
Object Khan E64995 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: Khan | Statement: [Munir Ahmad Khan, familyName, Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khan
Context triple: [Munir Ahmad Khan, familyName, Khan]
  • A. Khan chosen
    Khan is a common surname of Central and South Asian origin historically associated with nobility and leadership, now widely used across Muslim and other communities worldwide.
  • B. Khan Maykr
    Khan Maykr is a powerful, godlike ruler of the Maykr race and a major antagonist in Doom Eternal, orchestrating the demonic invasion of Earth.
  • C. Moin Khan
    Moin Khan is a former Pakistani wicketkeeper-batsman and World Cup–winning cricketer who later became a prominent coach and selector for Pakistan cricket.
  • D. Hakeem
    Hakeem is a male given name most famously associated with Hall of Fame NBA center Hakeem Olajuwon.
  • E. Ricardo Khan
    Ricardo Khan is an American theater director, playwright, and producer best known as the co-founder of the influential, Tony Award–winning Crossroads Theatre Company, a leading platform for African American and multicultural theater.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e90efc81909951dbe698afa851 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ecf3e248190868c1eb864191f8b completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:11 p.m.