Triple
T213215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdel Fattah el-Sisi |
E4760
|
entity |
| Predicate | hasPoliticalRole |
P8523
|
FINISHED |
| Object | Commander-in-Chief of the Egyptian Armed Forces |
—
|
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: Commander-in-Chief of the Egyptian Armed Forces | Statement: [Abdel Fattah el-Sisi, hasPoliticalRole, Commander-in-Chief of the Egyptian Armed Forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalRole Context triple: [Abdel Fattah el-Sisi, hasPoliticalRole, Commander-in-Chief of the Egyptian Armed Forces]
-
A.
hasPoliticalCharacteristic
Indicates that an entity possesses a specific political attribute, quality, or affiliation.
-
B.
roleInCongress
Indicates the specific position or function an individual holds within a legislative congress.
-
C.
hasChiefExecutiveRole
Indicates that an entity holds the highest executive leadership position and overall managerial authority within an organization.
-
D.
legislativeRole
Indicates that an entity holds or performs a specific official position, function, or duty within a legislative body or lawmaking process.
-
E.
isElectoralOffice
Indicates that the referenced position or role is an official public office filled through an electoral process.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c313d108190a65d3e939f961bef |
completed | Feb. 28, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69a25b509400819093a6c1a1bac861e3 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25c036b54819090a101c4cbdbcff7 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:52 a.m.