Triple
T6772470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nature of True Virtue |
E155075
|
entity |
| Predicate | viewOfVirtue |
P12802
|
FINISHED |
| Object | virtue as consent to being in general |
—
|
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: virtue as consent to being in general | Statement: [The Nature of True Virtue, viewOfVirtue, virtue as consent to being in general]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOfVirtue Context triple: [The Nature of True Virtue, viewOfVirtue, virtue as consent to being in general]
-
A.
viewsAsVirtue
chosen
Indicates that one entity regards a particular trait, behavior, or quality as a moral virtue.
-
B.
virtue
Indicates that an entity possesses or exemplifies a morally good quality, trait, or behavior.
-
C.
vowedVirtue
Indicates that an entity has formally promised or committed to uphold a particular virtue or moral quality.
-
D.
virtueIllustrated
Indicates that an action, example, or situation serves to demonstrate or make clear a particular virtue.
-
E.
recitationVirtue
Indicates that an act of recitation is regarded as a moral good or virtuous behavior.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24aaf948190a544cc28b7de67c4 |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d094105881909c5806eb4afa6306 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:13 p.m.