Triple
T11872109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirby Krackle |
E282428
|
entity |
| Predicate | commonBackgroundColors |
P101979
|
FINISHED |
| Object | bright flat colors |
—
|
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: bright flat colors | Statement: [Kirby Krackle, commonBackgroundColors, bright flat colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonBackgroundColors Context triple: [Kirby Krackle, commonBackgroundColors, bright flat colors]
-
A.
logoBackgroundColors
Indicates the background color or colors used behind a logo in its visual representation.
-
B.
defaultTextBackgroundColor
Indicates the background color that is used by default for displaying text when no other background color is specified.
-
C.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
hasBackgroundColor
Indicates that an entity possesses or is associated with a specific background color.
-
E.
backgroundUpperColor
Indicates the color present in the upper portion of an entity’s background.
- F. None of above. chosen
Provenance (4 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:43 p.m.