Triple
T36999694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiro Lolita |
E915315
|
entity |
| Predicate | colorSchemeContrastWith |
P123206
|
FINISHED |
| Object | Kuro Lolita |
—
|
NE NERFINISHED |
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: Kuro Lolita | Statement: [Shiro Lolita, colorSchemeContrastWith, Kuro Lolita]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorSchemeContrastWith Context triple: [Shiro Lolita, colorSchemeContrastWith, Kuro Lolita]
-
A.
providesContrastWith
chosen
Indicates that one entity is used to highlight differences or distinctions when compared with another entity.
-
B.
contrastRatio
Indicates the proportional difference in luminance or intensity between two visual elements being compared.
-
C.
themeContrast
Indicates a relationship where two themes are compared or opposed to highlight their differences or tension.
-
D.
colorSystemCompatibleWith
Indicates that one color system can be accurately used, interpreted, or converted within the context of another color system without loss of intended color meaning.
-
E.
hasTeamColorContrast
Indicates that there is a sufficient visual contrast between the colors associated with a team and another relevant color set (such as opponents, background, or interface elements).
- 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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:14 p.m.