Triple
T16323109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love is in the Bin |
E396345
|
entity |
| Predicate | hasImageColor |
P48842
|
FINISHED |
| Object | black and white with red accent |
—
|
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: black and white with red accent | Statement: [Love is in the Bin, hasImageColor, black and white with red accent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImageColor Context triple: [Love is in the Bin, hasImageColor, black and white with red accent]
-
A.
isColor
Indicates that one entity represents the color attribute or hue of another entity.
-
B.
hasColorModel
Indicates that an entity uses or is associated with a particular color representation model (such as RGB, CMYK, or HSV) for defining its colors.
-
C.
hasNumberOfColors
Indicates the quantity of distinct colors associated with an entity.
-
D.
hasColorInfo
chosen
Indicates that an entity is associated with specific color-related information or attributes.
-
E.
hasColorType
Indicates that an entity is associated with a specific category or type of color.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b82fe88190a448597b7827f859 |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.