Triple
T22526772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عمر الشريف |
E556924
|
entity |
| Predicate | الجوائز |
P11
|
FINISHED |
| Object | جائزة غولدن غلوب 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: جائزة غولدن غلوب لأفضل ممثل مساعد عن لورنس العرب | Statement: [عمر الشريف, الجوائز, جائزة غولدن غلوب لأفضل ممثل مساعد عن لورنس العرب]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الجوائز Context triple: [عمر الشريف, الجوائز, جائزة غولدن غلوب لأفضل ممثل مساعد عن لورنس العرب]
-
A.
awardIncludes
Indicates that a particular award encompasses, contains, or is composed of the specified component, category, or sub-award.
-
B.
isPrizedFor
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
-
C.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
D.
awardsAre
Indicates that one entity confers or grants awards or honors to another entity.
-
E.
awardReceived
chosen
Indicates that an entity has been granted or honored with a specific award or 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_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.