Triple
T22658131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | كمال الشيخ |
E559285
|
entity |
| Predicate | الانتماء الثقافي |
P122854
|
FINISHED |
| Object | 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: السينما العربية | Statement: [كمال الشيخ, الانتماء الثقافي, السينما العربية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الانتماء الثقافي Context triple: [كمال الشيخ, الانتماء الثقافي, السينما العربية]
-
A.
hasStrongCulturalIdentity
Indicates that an entity possesses a well-defined, deeply rooted, and strongly maintained sense of belonging to a particular culture or cultural tradition.
-
B.
culturalIdentifier
chosen
Indicates that one entity serves as a marker, label, or attribute that identifies or characterizes the cultural affiliation, background, or context of another entity.
-
C.
cultureOfOrigin
Indicates the cultural background or tradition from which an entity originates or is derived.
-
D.
hasCulturalRoots
Indicates that something originates from, is shaped by, or is deeply connected to particular cultural traditions, practices, or heritage.
-
E.
ethnicAspect
Indicates a relationship where one entity reflects, involves, or characterizes the ethnic background, identity, or attributes of another entity.
- 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.