Triple
T34976020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krakozhian |
E1008678
|
entity |
| Predicate | politicalSituationInPlot |
P97194
|
FINISHED |
| Object | experiences a coup d’état |
—
|
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: experiences a coup d’état | Statement: [Krakozhian, politicalSituationInPlot, experiences a coup d’état]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalSituationInPlot Context triple: [Krakozhian, politicalSituationInPlot, experiences a coup d’état]
-
A.
politicalRoleInPlot
Indicates that an entity holds a specific political function, position, or influence within the context of a particular plot or storyline.
-
B.
hasPoliticalPlot
chosen
Indicates that the subject work contains a storyline or narrative element centered on politics, political events, or political power struggles.
-
C.
politicalIssueIn
Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
-
D.
plotInvolvement
Indicates that an entity participates in, contributes to, or is affected by the events or storyline of a narrative work.
-
E.
politicalPositionDescribed
Indicates that a political role, office, or stance is being characterized or specified in descriptive terms.
- 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_69f76dc78a308190a1ac29ad4a9a4895 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
Created at: May 3, 2026, 4:01 p.m.