Triple
T18910102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aml Ameen |
E462579
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Aml Ameen |
—
|
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: Aml Ameen | Statement: [Aml Ameen, name, Aml Ameen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aml Ameen Context triple: [Aml Ameen, name, Aml Ameen]
-
A.
Aml Ameen
chosen
Aml Ameen is a British actor known for roles in films like "Kidulthood" and "The Maze Runner" as well as television series such as "Sense8."
-
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.
Alim Khan
Alim Khan was a prominent early 19th-century khan of the Kokand Khanate in Central Asia, known for expanding its territory and consolidating its political power.
-
D.
Nadeem Omar
Nadeem Omar is a Pakistani businessman and cricket administrator best known for owning the Quetta Gladiators franchise in the Pakistan Super League.
-
E.
Akhtar
Akhtar is a masculine given name commonly used in South Asian and Muslim communities, derived from Persian and meaning "star" or "good fortune."
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c62182f48190ad81b6ef0c7bc7da |
completed | April 20, 2026, 6:22 a.m. |
Created at: April 10, 2026, 11:58 a.m.