Triple
T606730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cynicism |
E12009
|
entity |
| Predicate | viewsVirtueAs |
P12802
|
FINISHED |
| Object | sufficient for happiness |
—
|
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: sufficient for happiness | Statement: [Cynicism, viewsVirtueAs, sufficient for happiness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsVirtueAs Context triple: [Cynicism, viewsVirtueAs, sufficient for happiness]
-
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.
viewsGraceAs
Indicates that one entity regards or perceives Grace in a particular way or role.
-
D.
viewOnHumanity
Indicates a stance, opinion, or overall perspective that an entity holds regarding humanity as a whole.
-
E.
viewOnSoul
Indicates a relationship where one entity holds or expresses a particular perspective, belief, or stance regarding the nature, existence, or characteristics of the soul.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df34abc8190a578c8c2ab3d28e4 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cf8fc1c81908a9c7df552aa1a59 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.