Triple
T34176926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Matthew |
E876697
|
entity |
| Predicate | oneOfFourEvangelists |
P178483
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [St Matthew, oneOfFourEvangelists, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfFourEvangelists Context triple: [St Matthew, oneOfFourEvangelists, yes]
-
A.
mainEvangelist
Indicates that one entity serves as the primary or leading proponent, promoter, or advocate for another entity.
-
B.
depictsApostlesAs
Indicates how a subject visually represents or portrays apostles in an image, artwork, or depiction.
-
C.
Eusebius of Vercelli
Indicates that there exists a relationship or action involving Eusebius of Vercelli, such as authorship, influence, association, or participation in an event or context.
-
D.
religiousFigure
Indicates that one entity is recognized or designated as a religious leader, authority, or sacred person in relation to another entity.
-
E.
typeOfSaint
Indicates that one entity is classified as a specific kind or category of saint in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69f349ad97ac8190bf1f17417c970e64 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:54 a.m.