Triple
T22526261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | زكريا عزمي |
E556911
|
entity |
| Predicate | عُرف بـ |
P84972
|
FINISHED |
| Object | النفوذ الواسع داخل مؤسسة الرئاسة 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: النفوذ الواسع داخل مؤسسة الرئاسة المصرية | Statement: [زكريا عزمي, عُرف بـ, النفوذ الواسع داخل مؤسسة الرئاسة المصرية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: عُرف بـ Context triple: [زكريا عزمي, عُرف بـ, النفوذ الواسع داخل مؤسسة الرئاسة المصرية]
-
A.
известенКак
Indicates that one entity is known or recognized by a particular name, title, or role.
-
B.
известенС
Indicates that one entity is known or recognized by another entity.
-
C.
refersToPersonKnownFor
Indicates that one entity makes reference to a person who is notable or recognized for some specific role, achievement, or characteristic.
-
D.
referentKnownFor
Indicates that the referent is widely recognized or notable for a particular activity, role, achievement, or characteristic.
-
E.
известноКак
chosen
Indicates that one entity is known or referred to by another name, designation, or alias.
- 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.