Triple
T10325291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GT California Special |
E242746
|
entity |
| Predicate | stylingInspiration |
P61406
|
FINISHED |
| Object | classic West Coast design |
—
|
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: classic West Coast design | Statement: [GT California Special, stylingInspiration, classic West Coast design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stylingInspiration Context triple: [GT California Special, stylingInspiration, classic West Coast design]
-
A.
fashionStyle
Indicates the characteristic way in which an entity dresses or presents themselves in terms of clothing and appearance.
-
B.
stylingTool
Indicates a tool or instrument used to style, shape, or arrange something (typically hair, clothing, or design elements).
-
C.
styleTendsTo
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
-
D.
styleCategory
Indicates the stylistic classification or genre category that an item, work, or entity belongs to.
-
E.
themeInspiration
chosen
Indicates that one entity serves as the creative source or conceptual basis that inspires or shapes the theme expressed in 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cd76348190b93562112300acfc |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f64a648190a79980d647898eb0 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:51 a.m.