Triple
T12324897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umaima Marvi |
E293803
|
entity |
| Predicate | spouse |
P13
|
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: [Umaima Marvi, spouse, Sal Khan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sal Khan Context triple: [Umaima Marvi, spouse, 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.
Siddhartha Khosla
Siddhartha Khosla is an Emmy-nominated Indian-American composer and songwriter known for his television scores, including his acclaimed work on the series "Only Murders in the Building" and "This Is Us."
-
C.
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.
-
D.
Michael Stevens
Michael Stevens is an American composer and musician best known for co-composing the score to the film "Invictus" alongside Kyle Eastwood.
-
E.
Anant Agarwal
Anant Agarwal is a computer scientist and MIT professor best known as the founding CEO of edX, a major online learning platform.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4e7e588190b37e2413bc649198 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a9f708081908c052333c3b7df4c |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.