Triple
T22526229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | كمال الشاذلي |
E556910
|
entity |
| Predicate | السمعة السياسية |
P73401
|
FINISHED |
| Object | معروف بنفوذه الواسع داخل البرلمان والحزب الوطني |
—
|
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: معروف بنفوذه الواسع داخل البرلمان والحزب الوطني | Statement: [كمال الشاذلي, السمعة السياسية, معروف بنفوذه الواسع داخل البرلمان والحزب الوطني]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: السمعة السياسية Context triple: [كمال الشاذلي, السمعة السياسية, معروف بنفوذه الواسع داخل البرلمان والحزب الوطني]
-
A.
السمعة
Indicates the reputation or public perception associated with an entity based on others’ opinions or past actions.
-
B.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
C.
electoralDignity
Indicates a relationship where an entity holds or is associated with an official electoral office, rank, or honor within a political or voting system.
-
D.
سبب التسمية
Indicates the reason or cause behind assigning a particular name to something.
-
E.
domesticReputation
chosen
Indicates the level or nature of how an entity is regarded or perceived within its own country or internal context.
- 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.