Triple
T22526805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نادية عز الدين ذو الفقار |
E556925
|
entity |
| Predicate | صلة القرابة |
P148526
|
FINISHED |
| Object | ابنة فاتن حمامة |
—
|
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: ابنة فاتن حمامة | Statement: [نادية عز الدين ذو الفقار, صلة القرابة, ابنة فاتن حمامة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: صلة القرابة Context triple: [نادية عز الدين ذو الفقار, صلة القرابة, ابنة فاتن حمامة]
-
A.
الزوجة
Indicates that one entity is the wife (spouse in a marital relationship) of another entity.
-
B.
تذكر نعيم
Indicates the act of recalling or mentioning a state of bliss, comfort, or enjoyment.
-
C.
الجيل
Indicates a generational relationship, linking entities as belonging to the same generation or specifying that one entity is a particular generation relative to another.
-
D.
مرتبطب
chosen
Indicates a relationship of being connected, associated, or related to something or someone.
-
E.
سبب التسمية
Indicates the reason or cause behind assigning a particular name to something.
- F. None of above.
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_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. |
Created at: April 16, 2026, 8:51 p.m.