Triple
T4665447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Et in Arcadia ego |
E102833
|
entity |
| Predicate | supportMaterial |
P4178
|
FINISHED |
| Object | canvas |
—
|
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: canvas | Statement: [Et in Arcadia ego, supportMaterial, canvas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportMaterial Context triple: [Et in Arcadia ego, supportMaterial, canvas]
-
A.
support
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
-
B.
supportStyle
Indicates the manner or approach by which one entity provides assistance or backing to another.
-
C.
supportStructureFor
Indicates that one entity serves as a physical or functional support structure for another entity.
-
D.
supportBase
chosen
Indicates that one entity serves as a foundational or backing structure that physically or functionally supports another entity.
-
E.
materialProvidedFor
Indicates that one entity supplies or makes available a material for use, processing, or incorporation by another entity or purpose.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.