Triple
T22526771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عمر الشريف |
E556924
|
entity |
| Predicate | الترشيحات |
P4124
|
FINISHED |
| Object | ترشيح لجائزة الأوسكار لأفضل ممثل مساعد عن لورنس العرب |
—
|
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: ترشيح لجائزة الأوسكار لأفضل ممثل مساعد عن لورنس العرب | Statement: [عمر الشريف, الترشيحات, ترشيح لجائزة الأوسكار لأفضل ممثل مساعد عن لورنس العرب]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الترشيحات Context triple: [عمر الشريف, الترشيحات, ترشيح لجائزة الأوسكار لأفضل ممثل مساعد عن لورنس العرب]
-
A.
nominationsFrom
chosen
Indicates that one entity has put forward or proposed another entity as a candidate for a position, award, or recognition.
-
B.
submitsNominationsTo
Indicates that one party formally sends or presents nominations to another party for consideration or approval.
-
C.
nominationReceivedBy
Indicates that an entity has received a nomination from another entity or source.
-
D.
elects
Indicates that one entity selects or chooses another entity for a position, role, or office, typically through a formal voting process.
-
E.
proposes
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
- 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_69f15ed352b48190a96ef2896f2978cd |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:51 p.m.