Triple
T32904306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unmercenary Healer |
E841691
|
entity |
| Predicate | categoryOfSaints |
P18301
|
FINISHED |
| Object | healing saints |
—
|
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: healing saints | Statement: [Unmercenary Healer, categoryOfSaints, healing saints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryOfSaints Context triple: [Unmercenary Healer, categoryOfSaints, healing saints]
-
A.
saintPatronageAssociatedWith
Indicates that a patronage relationship exists, where a saint is recognized as a special protector or advocate for a particular person, group, place, activity, or cause.
-
B.
typeOfSaint
chosen
Indicates that one entity is classified as a specific kind or category of saint in relation to another entity.
-
C.
venerationOfSaints
Indicates the act of showing honor, reverence, or devotional respect toward saints.
-
D.
saintName
Indicates that an entity has the specified name under which they are recognized or venerated as a saint.
-
E.
nationalPatronSaint
Indicates that one entity is recognized as the official patron saint of a particular nation.
- 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:19 a.m.