Triple
T16463479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdulla Aripov |
E399868
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Abdulla |
E112184
|
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: Abdulla | Statement: [Abdulla Aripov, givenName, Abdulla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abdulla Context triple: [Abdulla Aripov, givenName, Abdulla]
-
A.
Abdullah
chosen
Abdullah is a common Arabic male given name, notably borne by King Abdullah II of Jordan.
-
B.
Abdalla
Abdalla is a surname most notably borne by British-Egyptian actor and producer Khalid Abdalla, known for roles in films such as "United 93" and "The Kite Runner."
-
C.
Abdul
Abdul is a common male given name of Arabic origin meaning "servant of" (typically followed by one of the names of God).
-
D.
Ali Abdul
Ali Abdul is a beloved supporting character in the Netflix series "Squid Game," portrayed as a kind-hearted Pakistani migrant worker who participates in the deadly competition.
-
E.
Abdus
Abdus is a given name most notably borne by Abdus Salam, the Pakistani theoretical physicist and Nobel laureate.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d83687081908450657e1da6f6af |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00607618c8819090fc9f18ae5f30dd |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:10 a.m.