Triple
T22658047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | فتحي سرور |
E559282
|
entity |
| Predicate | معروف بـ |
P125118
|
FINISHED |
| Object | دوره البارز في الحياة البرلمانية المصرية قبل 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: دوره البارز في الحياة البرلمانية المصرية قبل 2011 | Statement: [فتحي سرور, معروف بـ, دوره البارز في الحياة البرلمانية المصرية قبل 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: معروف بـ Context triple: [فتحي سرور, معروف بـ, دوره البارز في الحياة البرلمانية المصرية قبل 2011]
-
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.
познатПо
chosen
Indicates that an entity is known or recognized for a particular quality, achievement, role, or characteristic.
-
D.
известноКак
Indicates that one entity is known or referred to by another name, designation, or alias.
-
E.
isWidelyKnownAs
Indicates that an entity is commonly referred to or recognized by a particular name or label by a broad audience.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765d10588190b4574f3e64617cd4 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:07 p.m.