Triple
T480905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khan Academy |
E9163
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Sal Khan
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.
|
E59930
|
NE FINISHED |
How this triple was built (4 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, foundedBy, Sal Khan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sal Khan Context triple: [Khan Academy, foundedBy, Sal Khan]
-
A.
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.
-
B.
Anant Agarwal
Anant Agarwal is a computer scientist and MIT professor best known as the founding CEO of edX, a major online learning platform.
-
C.
Sergey Brin
Sergey Brin is a computer scientist and internet entrepreneur best known as the co-founder of Google.
-
D.
Chad Hurley
Chad Hurley is an American entrepreneur and technologist best known as a co-founder and former CEO of the video-sharing platform YouTube.
-
E.
Parag Agrawal
Parag Agrawal is an Indian-American technology executive and computer scientist best known for serving as the chief executive officer of Twitter.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sal Khan Triple: [Khan Academy, foundedBy, Sal Khan]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sal Khan Target entity description: 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.
-
A.
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.
-
B.
Anant Agarwal
Anant Agarwal is a computer scientist and MIT professor best known as the founding CEO of edX, a major online learning platform.
-
C.
Sergey Brin
Sergey Brin is a computer scientist and internet entrepreneur best known as the co-founder of Google.
-
D.
Chad Hurley
Chad Hurley is an American entrepreneur and technologist best known as a co-founder and former CEO of the video-sharing platform YouTube.
-
E.
Parag Agrawal
Parag Agrawal is an Indian-American technology executive and computer scientist best known for serving as the chief executive officer of Twitter.
- F. None of above. chosen
Provenance (5 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_69a46c60a02081908bbb7b4ee12903a6 |
completed | March 1, 2026, 4:42 p.m. |
| NEDg | Description generation | batch_69a46cc070f48190a58b65b67efa25de |
completed | March 1, 2026, 4:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a46d2002d8819086691b73f8fbaae2 |
completed | March 1, 2026, 4:45 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.