Triple
T35441895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millennium Mambo |
E1024363
|
entity |
| Predicate | posterColorPalette |
P17891
|
FINISHED |
| Object | blue-dominated |
—
|
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: blue-dominated | Statement: [Millennium Mambo, posterColorPalette, blue-dominated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: posterColorPalette Context triple: [Millennium Mambo, posterColorPalette, blue-dominated]
-
A.
primaryColorPalette
chosen
Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
-
B.
bannerColor
Indicates the color associated with a banner in the relationship or context described.
-
C.
plateColor
Indicates that an entity has a specific color attribute associated with its plate.
-
D.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
E.
pasteColor
Indicates that one entity applies or transfers a color from a source to a target, effectively pasting that color onto the target.
- 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7961bfe988190b41273e67e326d53 |
completed | May 3, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:04 p.m.