Triple
T30664558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | statue of Ahuízotl |
E780623
|
entity |
| Predicate | usesIconographyFrom |
P169845
|
FINISHED |
| Object | Aztec art |
—
|
NE NERFINISHED |
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: Aztec art | Statement: [statue of Ahuízotl, usesIconographyFrom, Aztec art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesIconographyFrom Context triple: [statue of Ahuízotl, usesIconographyFrom, Aztec art]
-
A.
has iconography
chosen
Indicates that one entity is visually represented, symbolized, or depicted through the imagery or symbols associated with another entity.
-
B.
combinesIconographyOf
Indicates that one entity incorporates or merges the symbolic imagery or visual motifs traditionally associated with another entity.
-
C.
hasIconographicTradition
Indicates that an entity is associated with a recognized, recurring set of visual motifs or symbolic representations within a particular artistic or cultural tradition.
-
D.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
E.
iconographyInfluence
Indicates that one entity’s visual symbols, motifs, or stylistic elements have shaped or informed the iconographic style 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_69f224a6d10481909290be1a00fc83b3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:31 p.m.