Triple
T19442473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On the Principles of Political Morality |
E486383
|
entity |
| Predicate | viewOnTerror |
P20272
|
FINISHED |
| Object | presents terror as an instrument of virtue |
—
|
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: presents terror as an instrument of virtue | Statement: [On the Principles of Political Morality, viewOnTerror, presents terror as an instrument of virtue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnTerror Context triple: [On the Principles of Political Morality, viewOnTerror, presents terror as an instrument of virtue]
-
A.
viewOnFear
Indicates a relationship where one entity expresses or holds a particular perspective, attitude, or opinion about fear.
-
B.
viewOnViolence
chosen
Indicates an entity’s stance, opinion, or attitude toward the use of violence.
-
C.
viewOnEvil
Indicates a stance or perspective that an entity holds regarding what is considered evil.
-
D.
viewOfDeath
Indicates a subject’s beliefs, attitudes, or conceptual understanding regarding death.
-
E.
viewOnCrises
Indicates a stance, opinion, or perspective that an entity holds regarding one or more crises.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63386c520819092bea5d7f259a226 |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.