Triple
T22515873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ʿAbd al-Raḥmān |
E556644
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Abd ar-Rahman |
—
|
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: Abd ar-Rahman | Statement: [ʿAbd al-Raḥmān, hasVariant, Abd ar-Rahman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abd ar-Rahman Context triple: [ʿAbd al-Raḥmān, hasVariant, Abd ar-Rahman]
-
A.
Abd al-Rahman
Abd al-Rahman is the given name of the renowned 14th-century Arab historian and sociologist Ibn Khaldun.
-
B.
Abd al-Rahman
Abd al-Rahman is the given name of the prominent medieval Islamic scholar and historian Ibn al-Jawzi.
-
C.
Abd al-Rahman
chosen
Abd al-Rahman is an Arabic male given name meaning "servant of the Most Merciful," commonly used across the Muslim world.
-
D.
Abd al-Rahman
Abd al-Rahman is the personal name of the renowned 15th-century Egyptian scholar and polymath Jalal al-Din al-Suyuti.
-
E.
Abd al-Rahman ibn al-Hakam
Abd al-Rahman ibn al-Hakam was an Umayyad prince and governor of al-Andalus who played a significant role in the early Islamic administration of the Iberian Peninsula.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2cfc908190b3489228a1997f45 |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:50 p.m.