Triple
T22526781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عمر الشريف |
E556924
|
entity |
| Predicate | الديانة بعد الزواج |
P148735
|
FINISHED |
| Object | مسلم |
—
|
LITERAL 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: مسلم | Statement: [عمر الشريف, الديانة بعد الزواج, مسلم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الديانة بعد الزواج Context triple: [عمر الشريف, الديانة بعد الزواج, مسلم]
-
A.
الزوجة
Indicates that one entity is the wife (spouse in a marital relationship) of another entity.
-
B.
marriageResolvedBy
Indicates that a marital relationship between two parties has been formally concluded or dissolved through a specific resolving action or process (e.g., divorce, annulment).
-
C.
סיבת זכייה
Indicates the reason or cause for which an entity wins or is awarded something.
-
D.
配偶者の時代
Indicates a temporal relationship specifying the historical period or era in which a spouse lived or was active.
-
E.
حكم تلاوتها
Indicates the ruling or legal judgment regarding the recitation of something (e.g., whether its recitation is obligatory, recommended, permissible, disliked, or forbidden).
- F. None of above. chosen
Provenance (4 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed352b48190a96ef2896f2978cd |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:51 p.m.