Triple
T920655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russia Without Putin |
E19874
|
entity |
| Predicate | frames |
P7324
|
FINISHED |
| Object | Vladimir Putin as obstacle to democratization |
—
|
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: Vladimir Putin as obstacle to democratization | Statement: [Russia Without Putin, frames, Vladimir Putin as obstacle to democratization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frames Context triple: [Russia Without Putin, frames, Vladimir Putin as obstacle to democratization]
-
A.
frameType
Indicates the specific structural or categorical kind of frame associated with an entity or relation.
-
B.
frameworkPresented
Indicates that a particular framework has been formally introduced or shown to an audience or recipient.
-
C.
narrativeFrame
chosen
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
-
D.
front
Indicates that one entity is located directly before or facing another entity along a primary viewing or movement direction.
-
E.
frameworkFor
Indicates that one entity serves as a supporting structure, system, or basis that organizes, guides, or enables the development or functioning of another entity.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2944ff88190a260be5355132ba5 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.