Triple
T5663590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potnia Theron |
E124801
|
entity |
| Predicate | iconographicMotif |
P8270
|
FINISHED |
| Object | central female figure flanked by animals |
—
|
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: central female figure flanked by animals | Statement: [Potnia Theron, iconographicMotif, central female figure flanked by animals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconographicMotif Context triple: [Potnia Theron, iconographicMotif, central female figure flanked by animals]
-
A.
iconographyFeature
chosen
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
-
B.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
C.
iconographicForm
Indicates the specific visual or symbolic representation that an entity takes within an image or artwork.
-
D.
iconographicSubject
Indicates that one entity serves as the depicted subject or theme represented in the iconography of another entity.
-
E.
iconographicFunction
Indicates the symbolic or representational role that something serves within an image or visual composition.
- 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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0236d3f94819095111c41a323612d |
completed | March 22, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_69c021ba4ec481909db8cdbf0e907dd6 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:43 p.m.