Triple
T22526753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عمر الشريف |
E556924
|
entity |
| Predicate | سبب تغيير الاسم |
P67693
|
FINISHED |
| Object | دخوله عالم السينما العربية |
—
|
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: دخوله عالم السينما العربية | Statement: [عمر الشريف, سبب تغيير الاسم, دخوله عالم السينما العربية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: سبب تغيير الاسم Context triple: [عمر الشريف, سبب تغيير الاسم, دخوله عالم السينما العربية]
-
A.
سبب التسمية
Indicates the reason or cause behind assigning a particular name to something.
-
B.
التأثير
chosen
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
C.
عدد الحروف
Indicates the relationship that specifies the number of letters contained in a given word or text.
-
D.
changedNameInHonorOf
Indicates that an entity altered its name specifically to honor or pay tribute to another entity.
-
E.
changedNameOn
Indicates that an entity altered or updated its name at a specific point in time or on a particular date.
- 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_69f15ed352b48190a96ef2896f2978cd |
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.