Triple
T17081833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegory of Prudence |
E414489
|
entity |
| Predicate | usesVisualDevice |
P87465
|
FINISHED |
| Object | symbolism |
—
|
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: symbolism | Statement: [Allegory of Prudence, usesVisualDevice, symbolism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesVisualDevice Context triple: [Allegory of Prudence, usesVisualDevice, symbolism]
-
A.
usesDevice
Indicates that one entity operates, employs, or relies on a particular device to perform an action or achieve a purpose.
-
B.
usesCompositionalDevice
chosen
Indicates that an entity employs a specific compositional technique or device in creating or structuring something.
-
C.
usedAsDeviceFor
Indicates that one entity functions as a tool, instrument, or device for performing an action or achieving a particular purpose for another entity.
-
D.
visualTechnology
Indicates a relationship where one entity is a technology used to capture, process, display, or otherwise handle visual information for another entity or context.
-
E.
hasIllustrativeDevice
Indicates that one entity includes, uses, or is associated with an illustrative device (such as a diagram, figure, or visual aid) to support or clarify its content.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe408d48190b4f52c2102eae7c2 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.