Triple
T8414732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neon |
E198704
|
entity |
| Predicate | visualDesignElement |
P29429
|
FINISHED |
| Object | track-suit style outfit |
—
|
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: track-suit style outfit | Statement: [Neon, visualDesignElement, track-suit style outfit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualDesignElement Context triple: [Neon, visualDesignElement, track-suit style outfit]
-
A.
visualElements
chosen
Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features associated with another entity.
-
B.
visualIdentityDesigner
Indicates that an entity is responsible for creating or shaping the visual identity or visual branding of another entity.
-
C.
visualIdentity
Indicates the relationship in which one entity defines, shapes, or represents the visual appearance and branding style of another entity.
-
D.
visualForm
Indicates the visual appearance, shape, or structural pattern that characterizes how something looks.
-
E.
visualSimplicity
Indicates that something is characterized by a minimal, uncluttered, and easy-to-perceive visual appearance or design.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e443a08190983d9a0a61e0f781 |
completed | March 31, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69cb70d70ea081909c3dc1bd2ec14f85 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:06 p.m.