Triple
T30111662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | حزب الدستور المصري |
E765292
|
entity |
| Predicate | شخصية بارزة |
P136851
|
FINISHED |
| Object | محمد البرادعي |
—
|
NE NERFINISHED |
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: محمد البرادعي | Statement: [حزب الدستور المصري, شخصية بارزة, محمد البرادعي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: شخصية بارزة Context triple: [حزب الدستور المصري, شخصية بارزة, محمد البرادعي]
-
A.
notableCharacterType
Indicates that an entity is a notable or prominent example of a specified character type or role.
-
B.
notableFigureFeatured
Indicates that a notable or prominent individual is highlighted, showcased, or given special attention in the associated context or medium.
-
C.
famousIndividual
Indicates that an individual is widely known and recognized by a large number of people, typically for notable achievements, status, or public visibility.
-
D.
notablePublicFigure
Indicates that the subject is widely recognized and holds a significant public profile or influence in society.
-
E.
isOneOfMostProminentIn
chosen
Indicates that an entity ranks among the most notable, influential, or widely recognized members within a specified group, category, or domain.
- 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67dbfc82081909ae5d04676627a6c |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:10 p.m.