Triple
T28949781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sigma Chi |
E730975
|
entity |
| Predicate | cardinalVirtue |
P6827
|
FINISHED |
| Object | courage |
—
|
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: courage | Statement: [Sigma Chi, cardinalVirtue, courage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardinalVirtue Context triple: [Sigma Chi, cardinalVirtue, courage]
-
A.
virtue
chosen
Indicates that an entity possesses or exemplifies a morally good quality, trait, or behavior.
-
B.
virtuePersonifiedBy
Indicates that an abstract virtue is represented or embodied as a specific person or character.
-
C.
vowedVirtue
Indicates that an entity has formally promised or committed to uphold a particular virtue or moral quality.
-
D.
focusesOnVirtue
Indicates that an action, practice, or concept is primarily concerned with cultivating or emphasizing moral virtue or virtuous character.
-
E.
virtuePromoted
Indicates that one entity actively encourages, supports, or increases the presence or practice of a particular virtue in another entity or context.
- 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_69f043eb9bcc819091ac7b07aecb6475 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65bb75cd08190bbdb63c093ad6210 |
completed | May 2, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 8:43 a.m.