Triple
T22526862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الحرام |
E556927
|
entity |
| Predicate | تصنيف العمل |
P1366
|
FINISHED |
| Object | دراما اجتماعية |
—
|
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: دراما اجتماعية | Statement: [الحرام, تصنيف العمل, دراما اجتماعية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تصنيف العمل Context triple: [الحرام, تصنيف العمل, دراما اجتماعية]
-
A.
typeOfWork
chosen
Indicates the kind or category of work associated with or performed by an entity.
-
B.
settingOfWork
Indicates the place, time, or environment in which a creative work’s narrative or events are situated.
-
C.
employmentBasedCategory
Indicates that one entity’s classification or status is determined by its relationship to employment, such as being based on a specific job, role, or work-related category.
-
D.
workFor
Indicates that one entity is employed by or performs work under the authority or direction of another entity.
-
E.
associatedWorkType
Indicates the type or category of work with which an entity is associated (e.g., publication, artwork, performance).
- 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.