Triple
T480953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khan Academy |
E9163
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object | Sal Khan |
E59930
|
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: Sal Khan | Statement: [Khan Academy, hasKeyPerson, Sal Khan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sal Khan Context triple: [Khan Academy, hasKeyPerson, Sal Khan]
-
A.
Sal Khan
chosen
Sal Khan is an American educator and entrepreneur best known as the founder of the online learning platform Khan Academy, which offers free educational resources worldwide.
-
B.
Jawed Karim
Jawed Karim is a German-American computer scientist and entrepreneur best known as a co-founder of YouTube and the uploader of its first video.
-
C.
Anant Agarwal
Anant Agarwal is a computer scientist and MIT professor best known as the founding CEO of edX, a major online learning platform.
-
D.
Sergey Brin
Sergey Brin is a computer scientist and internet entrepreneur best known as the co-founder of Google.
-
E.
Drew Houston
Drew Houston is an American entrepreneur best known as the co-founder and CEO of the cloud storage company Dropbox.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f058ebe48190aaa0a829b21f75fa |
completed | Feb. 28, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4746deb4481908d88c50c86b58ee8 |
completed | March 1, 2026, 5:16 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.