Triple
T30448749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Power politics in the Middle East |
E774650
|
entity |
| Predicate | studiesActors |
P169450
|
FINISHED |
| Object | major world powers |
—
|
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: major world powers | Statement: [Great Power politics in the Middle East, studiesActors, major world powers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studiesActors Context triple: [Great Power politics in the Middle East, studiesActors, major world powers]
-
A.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
B.
filmCoStar
Indicates that two people appeared together as co-actors in the same film.
-
C.
actorKnownFor
Indicates that an actor is widely recognized or notable for a particular work, role, or contribution.
-
D.
majorActor
Indicates that the subject is a primary or leading participant in the action, event, or production involving the object.
-
E.
directorOfWorkFeaturingSubject
Indicates that the subject is the director of a creative work in which another specified entity appears or is featured.
- 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f686c1b7988190a0750c687c5d0dd1 |
completed | May 2, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 8:09 p.m.