Triple
T7280720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Wisdom |
E163137
|
entity |
| Predicate | influencedIconography |
P37204
|
FINISHED |
| Object | icons of Sophia, Holy Wisdom |
—
|
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: icons of Sophia, Holy Wisdom | Statement: [Holy Wisdom, influencedIconography, icons of Sophia, Holy Wisdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedIconography Context triple: [Holy Wisdom, influencedIconography, icons of Sophia, Holy Wisdom]
-
A.
iconographyInfluence
chosen
Indicates that one entity’s visual symbols, motifs, or stylistic elements have shaped or informed the iconographic style or imagery of another entity.
-
B.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
C.
iconographyFeature
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
-
D.
iconographicCategory
Indicates the classification of an entity based on the type or theme of its visual or symbolic representation.
-
E.
iconographicSource
Indicates that one entity serves as the visual or symbolic source, model, or reference for the iconography or imagery of another entity.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb34fe0c8190a642fd3339f0cacd |
completed | March 27, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:59 p.m.