Triple
T21118238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Juliana |
E520353
|
entity |
| Predicate | moralExampleOf |
P44622
|
FINISHED |
| Object | fidelity to God |
—
|
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: fidelity to God | Statement: [Saint Juliana, moralExampleOf, fidelity to God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moralExampleOf Context triple: [Saint Juliana, moralExampleOf, fidelity to God]
-
A.
moralExemplarOf
chosen
Indicates that one entity serves as a model or standard of moral behavior for another entity or group.
-
B.
moralRealization
Indicates the recognition or coming to understand a moral truth, principle, or ethical implication about a situation or action.
-
C.
moralCriterion
Indicates that something is being evaluated or classified according to a standard of moral judgment or ethical rightness.
-
D.
moralPortrayal
Indicates how an entity is depicted in terms of moral qualities, such as virtue, vice, or ethical standing, within a given context.
-
E.
moralCourage
Indicates the quality of acting ethically or standing up for moral principles despite facing fear, risk, or social pressure.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e721078ac48190980441b6ada0e2b4 |
completed | April 21, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:55 p.m.