Triple
T33696671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Renunciation of St Elizabeth of Hungary |
E863331
|
entity |
| Predicate | depictsVirtue |
P46133
|
FINISHED |
| Object | poverty |
—
|
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: poverty | Statement: [The Renunciation of St Elizabeth of Hungary, depictsVirtue, poverty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsVirtue Context triple: [The Renunciation of St Elizabeth of Hungary, depictsVirtue, poverty]
-
A.
virtueIllustrated
chosen
Indicates that an action, example, or situation serves to demonstrate or make clear a particular virtue.
-
B.
virtuePersonifiedBy
Indicates that an abstract virtue is represented or embodied as a specific person or character.
-
C.
virtuePromoted
Indicates that one entity actively encourages, supports, or increases the presence or practice of a particular virtue in another entity or context.
-
D.
virtuePraisedFor
Indicates that a particular virtue is being commended, admired, or spoken of approvingly by someone.
-
E.
virtueCategory
Indicates that something is classified as belonging to a particular category or type of virtue.
- 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: May 1, 2026, 1:43 a.m.