Triple
T22658121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | كمال الشيخ |
E559285
|
entity |
| Predicate | مساهمات بارزة |
P477
|
FINISHED |
| Object | تطوير لغة الإخراج في السينما المصرية |
—
|
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: تطوير لغة الإخراج في السينما المصرية | Statement: [كمال الشيخ, مساهمات بارزة, تطوير لغة الإخراج في السينما المصرية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مساهمات بارزة Context triple: [كمال الشيخ, مساهمات بارزة, تطوير لغة الإخراج في السينما المصرية]
-
A.
notableContribution
chosen
Indicates that an entity has made a significant, recognized contribution to another entity, field, work, or endeavor.
-
B.
notableContributionField
Indicates the field or domain in which an entity has made a significant or noteworthy contribution.
-
C.
notablePraise
Indicates that one entity has given significant or distinguished praise or commendation to another entity.
-
D.
portraysContribution
Indicates that one entity depicts, represents, or illustrates the contribution or role of another entity.
-
E.
awardContributedTo
Indicates that an entity played a role or made a contribution that helped lead to a particular award or recognition being granted.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765d10588190b4574f3e64617cd4 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:07 p.m.