Triple
T22527210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | هنري بركات |
E556937
|
entity |
| Predicate | معروف_ب |
P125118
|
FINISHED |
| Object | الاقتباس عن الأدب العربي في السينما |
—
|
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: الاقتباس عن الأدب العربي في السينما | Statement: [هنري بركات, معروف_ب, الاقتباس عن الأدب العربي في السينما]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: معروف_ب Context triple: [هنري بركات, معروف_ب, الاقتباس عن الأدب العربي في السينما]
-
A.
известенС
Indicates that one entity is known or recognized by another entity.
-
B.
известенКак
Indicates that one entity is known or recognized by a particular name, title, or role.
-
C.
knownInIslamAs
Indicates that an entity is referred to by a particular name, title, or designation specifically within the context of Islam or Islamic tradition.
-
D.
познатПо
chosen
Indicates that an entity is known or recognized for a particular quality, achievement, role, or characteristic.
-
E.
isWidelyKnownAs
Indicates that an entity is commonly referred to or recognized by a particular name or label by a broad audience.
- 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.