Triple
T22526251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | زكريا عزمي |
E556911
|
entity |
| Predicate | كان من الشخصيات النافذة في |
P148724
|
FINISHED |
| Object | النظام الحاكم قبل ثورة 25 يناير 2011 |
—
|
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: النظام الحاكم قبل ثورة 25 يناير 2011 | Statement: [زكريا عزمي, كان من الشخصيات النافذة في, النظام الحاكم قبل ثورة 25 يناير 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: كان من الشخصيات النافذة في Context triple: [زكريا عزمي, كان من الشخصيات النافذة في, النظام الحاكم قبل ثورة 25 يناير 2011]
-
A.
describesCharactersIn
Indicates that one entity provides a description or account of the characters that appear in another entity.
-
B.
notableEmployeeInFiction
Indicates that a person is a particularly prominent or significant employee within a fictional work or universe.
-
C.
notableCharacterType
Indicates that an entity is a notable or prominent example of a specified character type or role.
-
D.
notableCharacterGroup
Indicates that a group of characters is especially prominent, significant, or noteworthy within a given context or work.
-
E.
featuresCharactersFrom
Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
- 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.