Triple
T6712732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Said Mahran |
E153185
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object | Nabawiyya |
E139762
|
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: Nabawiyya | Statement: [Said Mahran, hasSpouse, Nabawiyya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nabawiyya Context triple: [Said Mahran, hasSpouse, Nabawiyya]
-
A.
Nabawiyya
chosen
Nabawiyya is a character in Naguib Mahfouz’s novel "The Thief and the Dogs," known primarily as the unfaithful wife whose betrayal deeply impacts the protagonist, Said Mahran.
-
B.
Juwayriya
Juwayriya was a wife of the Prophet Muhammad and is regarded as one of the Mothers of the Believers in Islamic tradition.
-
C.
Rumaitha
Rumaitha is a town in southern Iraq notable as one of the centers of resistance during the 1920 Iraqi revolt against British rule.
-
D.
Nawbahar
Nawbahar was the mother of Mahmud of Ghazni, the prominent 11th-century sultan who founded the Ghaznavid Empire in present-day Afghanistan and northern India.
-
E.
Juhayna
Juhayna is a town in Egypt’s Sohag Governorate, located in Upper Egypt along the Nile Valley.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d121a92c8190a03f384a8aba84da |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700948788819087f9b466be337286 |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:07 p.m.