Triple
T27172604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عماد فايز مغنية |
E682959
|
entity |
| Predicate | الدور في حزب الله |
P161931
|
FINISHED |
| Object | قائد عسكري بارز |
—
|
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: قائد عسكري بارز | Statement: [عماد فايز مغنية, الدور في حزب الله, قائد عسكري بارز]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الدور في حزب الله Context triple: [عماد فايز مغنية, الدور في حزب الله, قائد عسكري بارز]
-
A.
roleInLibyanCivilWar
Indicates the specific involvement, function, or position an entity had in the context of the Libyan Civil War.
-
B.
roleInIraq
Indicates that an entity holds or held a specific role, position, or function in the context of Iraq.
-
C.
has part in role
Indicates that an entity participates as a component or constituent specifically in a defined role within a larger whole or process.
-
D.
roleInSyriana
Indicates that one entity has a specific role or involvement in the context of "Syriana," such as participation, function, or contribution related to it.
-
E.
الدور في حلف الفضول
Indicates the role or participation an entity had in the Hilf al-Fudul alliance.
- 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62549039c8190af7159d07416c985 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fa35ac48190890102c348ed81a0 |
completed | May 2, 2026, 4 p.m. |
Created at: April 27, 2026, 9:24 a.m.