Triple
T36999696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiro Lolita |
E915315
|
entity |
| Predicate | mayIncludeAccentColor |
P85337
|
FINISHED |
| Object | off-white shades |
—
|
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: off-white shades | Statement: [Shiro Lolita, mayIncludeAccentColor, off-white shades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayIncludeAccentColor Context triple: [Shiro Lolita, mayIncludeAccentColor, off-white shades]
-
A.
uniformAccentColor
Indicates that multiple elements share the same accent color, creating a consistent visual highlight across them.
-
B.
accentColor
Indicates the color used as a highlight or emphasis within a visual design or interface.
-
C.
containsColor
chosen
Indicates that one entity includes or exhibits the color specified by another entity.
-
D.
hasLetterColor
Indicates that one entity (typically a letter or character) is associated with a specific color.
-
E.
hasAccent
Indicates that an entity speaks with or possesses a particular accent or distinctive pronunciation style.
- 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_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.