Triple
T22526809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نادية عز الدين ذو الفقار |
E556925
|
entity |
| Predicate | مهنة الأب |
P148738
|
FINISHED |
| Object | مخرج سينمائي مصري |
—
|
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: مخرج سينمائي مصري | Statement: [نادية عز الدين ذو الفقار, مهنة الأب, مخرج سينمائي مصري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مهنة الأب Context triple: [نادية عز الدين ذو الفقار, مهنة الأب, مخرج سينمائي مصري]
-
A.
الزوجة
Indicates that one entity is the wife (spouse in a marital relationship) of another entity.
-
B.
The Long Road Home
Indicates a prolonged or challenging journey back to one’s place of origin, belonging, or emotional center.
-
C.
義理の息子
Indicates a relationship where someone is another person's son-in-law or stepson, i.e., a son by marriage or through a non-biological parental tie.
-
D.
السمعة
Indicates the reputation or public perception associated with an entity based on others’ opinions or past actions.
-
E.
מאפיין עונתי
Indicates that something exhibits a seasonal characteristic, pattern, or variation over time.
- 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_69f15ed411488190a51320930b9805c2 |
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.