Triple
T4841345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solemnity of Saint Joseph, Spouse of the Blessed Virgin Mary |
E108186
|
entity |
| Predicate | emphasizesVirtue |
P25343
|
FINISHED |
| Object | chastity |
—
|
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: chastity | Statement: [Solemnity of Saint Joseph, Spouse of the Blessed Virgin Mary, emphasizesVirtue, chastity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizesVirtue Context triple: [Solemnity of Saint Joseph, Spouse of the Blessed Virgin Mary, emphasizesVirtue, chastity]
-
A.
virtue
Indicates that an entity possesses or exemplifies a morally good quality, trait, or behavior.
-
B.
recitationVirtue
Indicates that an act of recitation is regarded as a moral good or virtuous behavior.
-
C.
virtueIllustrated
Indicates that an action, example, or situation serves to demonstrate or make clear a particular virtue.
-
D.
moralConcept
Indicates that one entity represents or embodies a moral or ethical concept in relation to another.
-
E.
moralTheme
chosen
Indicates that a work, event, or situation embodies or conveys a particular ethical lesson, value, or moral principle.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.