Triple
T15635864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Marie Antoinette with her Children |
E375942
|
entity |
| Predicate | depictsArchitectureElement |
P46781
|
FINISHED |
| Object | column |
—
|
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: column | Statement: [Portrait of Marie Antoinette with her Children, depictsArchitectureElement, column]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsArchitectureElement Context triple: [Portrait of Marie Antoinette with her Children, depictsArchitectureElement, column]
-
A.
depictionElement
chosen
Indicates that one entity is an element or component that appears within the visual or representational depiction of another entity.
-
B.
architecturalSymbol
Indicates that one entity serves as a symbolic or emblematic representation of another within an architectural context.
-
C.
architectureProfileOf
Indicates that one entity serves as the architectural specification, style, or structural design profile that characterizes or defines another entity.
-
D.
depictsAttribute
Indicates that one entity visually represents or illustrates a specific attribute or characteristic of another entity.
-
E.
renderingArchitecture
Indicates the specific rendering system or framework used to generate visual output for a given entity or environment.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb8b4c48190b80fea6877483089 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.