Triple

T6396496
Position Surface form Disambiguated ID Type / Status
Subject Mohammad Ayub Khan E143955 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: [Mohammad Ayub Khan, familyName, Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khan
Context triple: [Mohammad Ayub 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. Kaan
    Kaan was a powerful Maya royal dynasty associated with the ancient city-state of Calakmul, known for its political and military rivalry with Tikal during the Classic period.
  • C. Bobby Khan
    Bobby Khan is an Indian film director and choreographer known for his work in Bollywood music videos and films.
  • D. Kumail
    Kumail is a Pakistani-American comedian and actor best known for his work on the TV series "Silicon Valley" and the film "The Big Sick."
  • E. Hussain
    Hussain is a common given name and surname of Arabic origin, widely used in Muslim communities around the world.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068953968819083a94f5de3e11819 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c63897a5408190b6aada0e5c67fe27 completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:35 p.m.