Triple
T22527327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | شكري سرحان |
E556940
|
entity |
| Predicate | من_رواد |
P148527
|
FINISHED |
| Object | السينما المصرية الكلاسيكية |
—
|
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 المصرية الكلاسيكية | Statement: [شكري سرحان, من_رواد, السينما المصرية الكلاسيكية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: من_رواد Context triple: [شكري سرحان, من_رواد, السينما المصرية الكلاسيكية]
-
A.
ظهرفي
Indicates that an entity appears, is shown, or is present within another entity (such as a place, medium, or context).
-
B.
رافد_لـ
Indicates that something serves as a tributary or feeder to something else, typically contributing resources, flow, or support to it.
-
C.
نوقشفي
Indicates that something or someone was discussed or debated within a particular context or setting.
-
D.
المنشأ
Indicates the origin or source from which an entity, action, or relationship arises or is derived.
-
E.
נקראים
Indicates that entities are named, called, or referred to by a particular term or title.
- 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_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa3b4c288190951cca06d42bea51 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:51 p.m.