Triple
T29989306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crocifissione di sant'Andrea |
E761826
|
entity |
| Predicate | iconografia |
P50013
|
FINISHED |
| Object | croce a forma di X |
—
|
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: croce a forma di X | Statement: [Crocifissione di sant'Andrea, iconografia, croce a forma di X]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconografia Context triple: [Crocifissione di sant'Andrea, iconografia, croce a forma di X]
-
A.
iconographyFeature
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
-
B.
iconographicRepresentation
Indicates that one entity serves as a visual or symbolic depiction of another, typically in an artistic, religious, or cultural context.
-
C.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
D.
iconographicForm
chosen
Indicates the specific visual or symbolic representation that an entity takes within an image or artwork.
-
E.
iconographicStructure
Indicates the way visual elements are organized and related within an image or icon, defining its internal compositional structure.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6791985c08190815809bcc3258be8 |
completed | May 2, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:37 p.m.