Triple
T11969069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quinta del Sordo |
E284867
|
entity |
| Predicate | BlackPaintingsDominantPalette |
P17891
|
FINISHED |
| Object | dark and muted 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: dark and muted tones | Statement: [Quinta del Sordo, BlackPaintingsDominantPalette, dark and muted tones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BlackPaintingsDominantPalette Context triple: [Quinta del Sordo, BlackPaintingsDominantPalette, dark and muted tones]
-
A.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
B.
coverArtFeaturesColor
Indicates that the cover art includes or prominently displays a specific color as part of its visual design.
-
C.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
D.
primaryColorPalette
chosen
Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
-
E.
colorTheory
Indicates a relationship where principles or concepts about how colors interact, combine, or affect perception are applied or referenced between entities.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037bee54819085242a3ef3e286f9 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:46 p.m.