Triple
T2817357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khaldoon |
E54319
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Khaldoun |
E54319
|
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: Khaldoun | Statement: [Khaldoon, hasVariantSpelling, Khaldoun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khaldoun Context triple: [Khaldoon, hasVariantSpelling, Khaldoun]
-
A.
Khaldun
Khaldun is a male given name of Arabic origin, historically associated with the famous Muslim historian and philosopher Ibn Khaldun.
-
B.
Khaldoon
chosen
Khaldoon is an Arabic masculine given name commonly used in the Middle East.
-
C.
Sahnun
Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
-
D.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
E.
Lakhdar
Lakhdar is an Arabic masculine given name most notably borne by Algerian diplomat Lakhdar Brahimi.
- 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde500d3c8190b435a20a0f9d3b9d |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8b344ec8190948b26a5101fb183 |
completed | March 10, 2026, 9:47 a.m. |
Created at: March 6, 2026, 9:59 p.m.