Triple
T22526225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | كمال الشاذلي |
E556910
|
entity |
| Predicate | أبرز الأدوار |
P148723
|
FINISHED |
| Object | أحد أقدم وأطول النواب بقاءً في البرلمان 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: أحد أقدم وأطول النواب بقاءً في البرلمان المصري | Statement: [كمال الشاذلي, أبرز الأدوار, أحد أقدم وأطول النواب بقاءً في البرلمان المصري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أبرز الأدوار Context triple: [كمال الشاذلي, أبرز الأدوار, أحد أقدم وأطول النواب بقاءً في البرلمان المصري]
-
A.
highlightsRole
Indicates that one entity emphasizes, showcases, or draws special attention to the role or function of another entity.
-
B.
როლები
Indicates that an entity has specific roles, functions, or positions assigned or associated with it in a given context.
-
C.
notableArcRole
Indicates that one entity holds a particularly important or prominent role within a narrative arc or storyline in relation to another entity.
-
D.
notableTrackRole
Indicates that an entity has a significant or distinguished role or contribution in relation to a particular track (such as a song or recording).
-
E.
roleInActs
Indicates the specific function or character that an entity performs or portrays within one or more acts or performances.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:51 p.m.