Triple
T22527178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | هنري بركات |
E556937
|
entity |
| Predicate | المجال |
P12844
|
FINISHED |
| Object | السينما المصرية |
—
|
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 | Statement: [هنري بركات, المجال, السينما المصرية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المجال Context triple: [هنري بركات, المجال, السينما المصرية]
-
A.
realm
chosen
Indicates that one entity is a domain, sphere of influence, or area of control associated with another entity.
-
B.
realmWithin
Indicates that one realm or domain is contained inside, or exists as a subset of, another realm or domain.
-
C.
campo
Indicates that an entity is associated with, located in, or characterized by a particular field, area, or domain (often geographic or topical).
-
D.
zone
Indicates that an entity is located within, associated with, or assigned to a particular geographic or conceptual area or zone.
-
E.
area of activity
Indicates the domain, field, or sphere in which an entity is active or carries out its primary functions or operations.
- 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.