Triple
T30104800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cézanne’s L’Estaque landscapes |
E765101
|
entity |
| Predicate | formalInnovation |
P146544
|
FINISHED |
| Object | use of color to build form |
—
|
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: use of color to build form | Statement: [Cézanne’s L’Estaque landscapes, formalInnovation, use of color to build form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formalInnovation Context triple: [Cézanne’s L’Estaque landscapes, formalInnovation, use of color to build form]
-
A.
innovation
Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
-
B.
innovationFrom
Indicates that something originates, arises, or is derived as an innovation from a particular source or prior entity.
-
C.
innovationLevel
Indicates the degree or extent to which something is new, original, or creatively advanced compared to existing norms or solutions.
-
D.
usedInnovation
Indicates that one entity applied or implemented an innovation (such as a new idea, method, or technology) in relation to another entity or context.
-
E.
innovativeFeature
chosen
Indicates that an entity possesses or introduces a novel, advanced, or uniquely improved feature compared to existing alternatives.
- 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 29, 2026, 7:09 p.m.