Triple
T6402059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Coltrane |
E144085
|
entity |
| Predicate | religiousVeneration |
P8505
|
FINISHED |
| Object | Saint in the African Orthodox Church |
—
|
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: Saint in the African Orthodox Church | Statement: [John Coltrane, religiousVeneration, Saint in the African Orthodox Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousVeneration Context triple: [John Coltrane, religiousVeneration, Saint in the African Orthodox Church]
-
A.
venerationType
Indicates the specific manner or category of reverence or worship directed toward an entity.
-
B.
basisOfVeneration
Indicates the reason, quality, or attribute for which something or someone is regarded with reverence or veneration.
-
C.
veneratedBy
chosen
Indicates that one entity is regarded with deep respect, reverence, or worship by another entity.
-
D.
venerationOfSaints
Indicates the act of showing honor, reverence, or devotional respect toward saints.
-
E.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
- 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c068ade8c881908a0472f1de6b7c21 |
completed | March 22, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69c060f40ecc8190b1df17b96767675c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:35 p.m.