Triple
T20977540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonna Madonna |
E516663
|
entity |
| Predicate | religiousArtForm |
P65532
|
FINISHED |
| Object | Marian art |
—
|
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: Marian art | Statement: [Colonna Madonna, religiousArtForm, Marian art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousArtForm Context triple: [Colonna Madonna, religiousArtForm, Marian art]
-
A.
traditionalArtForm
Indicates that something is an established artistic practice or style that has been handed down through cultural or historical tradition.
-
B.
inArtAndIconography
Indicates that one entity is depicted, represented, or symbolically expressed through artistic works or iconographic imagery related to another entity.
-
C.
usesSacredArtForm
Indicates that one entity employs or incorporates a sacred or religiously significant art form in relation to another entity or context.
-
D.
iconographicCategory
chosen
Indicates the classification of an entity based on the type or theme of its visual or symbolic representation.
-
E.
devotionalObject
Indicates that one entity is used by or associated with another as an object of religious or spiritual devotion.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba4a0dc819083b90795d26adfff |
completed | April 21, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:47 p.m.