Triple
T24368542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerald of Aurillac |
E614266
|
entity |
| Predicate | typeOfSainthood |
P18301
|
FINISHED |
| Object | confessor |
—
|
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: confessor | Statement: [Gerald of Aurillac, typeOfSainthood, confessor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSainthood Context triple: [Gerald of Aurillac, typeOfSainthood, confessor]
-
A.
typeOfSaint
chosen
Indicates that one entity is classified as a specific kind or category of saint in relation to another entity.
-
B.
canonizationType
Indicates the specific manner or category by which an individual is formally recognized as a saint or holy figure within a religious canon.
-
C.
portraysAsSaint
Indicates that one entity depicts or represents another entity as a saintly, holy, or morally exemplary figure.
-
D.
venerationOfSaints
Indicates the act of showing honor, reverence, or devotional respect toward saints.
-
E.
religiousFigureType
Indicates the specific role or category of a person recognized as a religious figure (e.g., priest, monk, prophet) within a religious context.
- 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_69e2d7e1e010819098b95eb3f905943d |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2938994c081909730d1e02e823dfd |
completed | April 29, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:01 a.m.