Triple

T3848607
Position Surface form Disambiguated ID Type / Status
Subject Aamir Khan E85234 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: [Aamir Khan, familyName, Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khan
Context triple: [Aamir 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. 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."
  • D. Hussain
    Hussain is a common given name and surname of Arabic origin, widely used in Muslim communities around the world.
  • E. Kahn
    Kahn is a surname most famously associated with Louis Kahn, the influential 20th-century architect known for his monumental and timeless modernist buildings.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeebcc8a0481909c35161336bdfbf9 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b504172d58819089d19f5cb7b803ec completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:19 p.m.