Triple
T21943821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahabzade Irfan Ali Khan |
E541886
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Khan | Statement: [Sahabzade Irfan Ali Khan, familyName, Khan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khan Context triple: [Sahabzade Irfan Ali 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.
Mr Khan
Mr Khan is the blustering, self-appointed community leader and comically overconfident patriarch at the center of the British sitcom "Citizen Khan."
-
C.
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.
-
D.
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.
-
E.
Khanan
Khanan is the tragic young scholar whose doomed love and spiritual turmoil drive the plot of S. Ansky’s classic Yiddish play "The Dybbuk."
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242515ec8190b015bf8c7b13be85 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.