Triple
T23429312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amr ibn Uthman |
E563281
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Amr |
—
|
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: Amr | Statement: [Amr ibn Uthman, givenName, Amr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amr Context triple: [Amr ibn Uthman, givenName, Amr]
-
A.
Amr
chosen
Amr is a common Arabic male given name, often associated with historical and contemporary figures across the Arab world.
-
B.
Mahmoud
Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
-
C.
Abdelrahman
Abdelrahman is a common Arabic male given name meaning "servant of the Most Merciful," referring to one of the names of God in Islam.
-
D.
Ahmed
Ahmed is a common Arabic male given name meaning "most commendable" or "most praiseworthy."
-
E.
Ahmed
Ahmed is a key character in Guy Ritchie’s war thriller film "The Covenant," portrayed as a courageous Afghan interpreter who forms a life-or-death bond with a U.S. soldier.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a54ba29881909945690496f28d65 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:48 p.m.