Triple
T10135022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkeley series |
E226832
|
entity |
| Predicate | typicalPalette |
P17891
|
FINISHED |
| Object | earth tones |
—
|
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: earth tones | Statement: [Berkeley series, typicalPalette, earth tones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPalette Context triple: [Berkeley series, typicalPalette, earth tones]
-
A.
typicalColorDescription
Indicates the usual or characteristic color associated with an entity.
-
B.
typicalVisualStyle
Indicates the characteristic or commonly observed visual appearance or aesthetic style associated with an entity.
-
C.
primaryColorPalette
chosen
Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
-
D.
typicalTexture
Indicates the usual or characteristic surface feel or consistency that is commonly associated with an entity.
-
E.
typicalBlendStyle
Indicates the usual or characteristic way in which two or more elements are combined or mixed together.
- 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cde87e1f908190a53865420f2b8f93 |
completed | April 2, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:06 p.m.