Triple
T22526164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | صفوت الشريف |
E556909
|
entity |
| Predicate | منصب |
P3459
|
FINISHED |
| Object | رئيس مجلس الشورى المصري |
—
|
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: رئيس مجلس الشورى المصري | Statement: [صفوت الشريف, منصب, رئيس مجلس الشورى المصري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: منصب Context triple: [صفوت الشريف, منصب, رئيس مجلس الشورى المصري]
-
A.
leadershipPosition
chosen
Indicates that one entity holds a role of authority, guidance, or decision-making responsibility over others within an organization, group, or context.
-
B.
typeOfOffice
Indicates the specific category or kind of office that an office entity belongs to (e.g., executive, legislative, judicial, or other office types).
-
C.
stateOfOffice
Indicates the current condition or operational status of an office (such as open, closed, under renovation, or active/inactive).
-
D.
staffPosition
Indicates the specific role or job position that a staff member holds within an organization.
-
E.
typeOfMinister
Indicates the specific governmental or religious office or role that a particular minister holds.
- 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_69e11e5657e881909f16ca58352c50da |
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.