Triple
T954362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clement |
E20592
|
entity |
| Predicate | associatedWithVirtue |
P6827
|
FINISHED |
| Object | mercy |
—
|
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: mercy | Statement: [Clement, associatedWithVirtue, mercy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithVirtue Context triple: [Clement, associatedWithVirtue, mercy]
-
A.
virtue
chosen
Indicates that an entity possesses or exemplifies a morally good quality, trait, or behavior.
-
B.
viewsAsVirtue
Indicates that one entity regards a particular trait, behavior, or quality as a moral virtue.
-
C.
associatedDevotion
Indicates a relationship where one entity is linked to or characterized by a particular devotion, dedication, or religious/spiritual practice connected to another entity.
-
D.
associatedWithReputation
Indicates a relationship where an entity is linked to, influenced by, or characterized in terms of another entity’s reputation or perceived standing.
-
E.
associatedWithChurch
Indicates a relationship in which an entity has a connection, involvement, or affiliation with a church.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3da8d508190b56b29d7f235d2c4 |
completed | March 1, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a045308190ab94f3adab40db8d |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.