Triple
T28390794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows XP Luna theme |
E719150
|
entity |
| Predicate | usesVisualStyleEngine |
P30520
|
FINISHED |
| Object | Windows XP visual styles |
—
|
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: Windows XP visual styles | Statement: [Windows XP Luna theme, usesVisualStyleEngine, Windows XP visual styles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesVisualStyleEngine Context triple: [Windows XP Luna theme, usesVisualStyleEngine, Windows XP visual styles]
-
A.
typicalVisualStyle
Indicates the characteristic or commonly observed visual appearance or aesthetic style associated with an entity.
-
B.
hasSignatureVisualStyle
Indicates that an entity is characterized by a distinctive and recognizable visual style that sets it apart from others.
-
C.
usesAsStyleOf
chosen
Indicates that one entity adopts or applies another entity as a stylistic model, method, or manner of expression.
-
D.
hasSystemStyle
Indicates that one entity is associated with, or characterized by, a particular system-defined style of another entity.
-
E.
usedStyle
Indicates that one entity employed or applied a particular style, method, or manner associated with another entity.
- 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 1:13 a.m.