Triple
T28259087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | stigmata of Saint Francis of Assisi |
E712533
|
entity |
| Predicate | visionInvolved |
P26123
|
FINISHED |
| Object | seraphic Christ |
—
|
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: seraphic Christ | Statement: [stigmata of Saint Francis of Assisi, visionInvolved, seraphic Christ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visionInvolved Context triple: [stigmata of Saint Francis of Assisi, visionInvolved, seraphic Christ]
-
A.
vision
Indicates that an entity perceives another entity or object visually, using sight.
-
B.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
C.
visionOrSign
chosen
Indicates a relationship where something is perceived or presented as a vision, sign, or symbolic manifestation, often conveying a message, omen, or divine indication.
-
D.
containsVisionOf
Indicates that one entity includes, depicts, or embodies a visual representation or image of another entity.
-
E.
visualExperience
Indicates a relationship where an entity undergoes or has a particular experience involving visual perception or seeing.
- 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_69efb5207eb08190827e4c34048030b1 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f643f68c2c8190b44dd5a13238288a |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:10 p.m.