Triple
T12325005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salman Khan |
E293806
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Salman |
E29982
|
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: Salman | Statement: [Salman Khan, givenName, Salman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salman Context triple: [Salman Khan, givenName, Salman]
-
A.
Salman
chosen
Salman is the given name of Salman Rushdie, the renowned British-Indian novelist known for works such as "Midnight's Children" and "The Satanic Verses."
-
B.
Salman Amin Khan
Salman Amin Khan is an American educator and entrepreneur best known as the founder of Khan Academy, a nonprofit organization providing free online educational resources worldwide.
-
C.
Abdul Mateen
Abdul Mateen is a Bruneian prince and public figure known for his military career, international diplomacy, and prominent presence in regional and global events.
-
D.
Salman Khan
Salman Khan is an American educator and entrepreneur best known as the founder of the online learning platform Khan Academy.
-
E.
Salman Khan
Salman Khan is a major Indian film actor and producer, known for his blockbuster Hindi movies, larger-than-life screen persona, and significant influence on Bollywood popular culture.
- 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_69f6346a3f34819091882004ab558347 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:53 p.m.