Triple
T22658128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | كمال الشيخ |
E559285
|
entity |
| Predicate | النوع السينمائي المفضل |
P81962
|
FINISHED |
| Object | الأفلام الدرامية |
—
|
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: الأفلام الدرامية | Statement: [كمال الشيخ, النوع السينمائي المفضل, الأفلام الدرامية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: النوع السينمائي المفضل Context triple: [كمال الشيخ, النوع السينمائي المفضل, الأفلام الدرامية]
-
A.
favoriteMovie
Indicates that one entity is the movie that another entity likes best among all movies.
-
B.
favoriteGenre
chosen
Indicates that one entity’s preferred or most liked genre, among several possible genres, is the other entity.
-
C.
filmType
Indicates the specific category or genre that a film belongs to.
-
D.
visualGenre
Indicates the visual or stylistic category to which something belongs, such as its artistic or cinematic genre.
-
E.
sourceFilmGenre
Indicates that a film is classified as belonging to a particular genre.
- 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.