Triple
T10199464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khudayar Khan |
E238844
|
entity |
| Predicate | title |
P38
|
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: [Khudayar Khan, title, Khan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khan Context triple: [Khudayar Khan, title, 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.
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.
-
C.
Hakeem
Hakeem is a male given name most famously associated with Hall of Fame NBA center Hakeem Olajuwon.
-
D.
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.
-
E.
Bobby Khan
Bobby Khan is an Indian film director and choreographer known for his work in Bollywood music videos and films.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee3dfa108190b2888385ef96de23 |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317eca3f88190a47009be6f96977e |
completed | April 6, 2026, 2:18 a.m. |
Created at: March 30, 2026, 9:14 p.m.