Triple
T22526977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سيدة القصر |
E556931
|
entity |
| Predicate | شهرة |
P27257
|
FINISHED |
| Object | يُعتبر من الكلاسيكيات في 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: يُعتبر من الكلاسيكيات في السينما العربية | Statement: [سيدة القصر, شهرة, يُعتبر من الكلاسيكيات في السينما العربية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: شهرة Context triple: [سيدة القصر, شهرة, يُعتبر من الكلاسيكيات في السينما العربية]
-
A.
السمعة
Indicates the reputation or public perception associated with an entity based on others’ opinions or past actions.
-
B.
fameStatus
chosen
Indicates the level or state of public recognition or renown associated with an entity.
-
C.
fameFor
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
-
D.
popularity
Indicates how widely liked, admired, or favored something or someone is by a group of people.
-
E.
famePeak
Indicates the time or point at which an entity reaches its highest level of fame or public recognition.
- 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_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.