Triple
T14769761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | motion W |
E347096
|
entity |
| Predicate | visualIdentityRole |
P41673
|
FINISHED |
| Object | core element of Wisconsin Badgers brand |
—
|
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: core element of Wisconsin Badgers brand | Statement: [motion W, visualIdentityRole, core element of Wisconsin Badgers brand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualIdentityRole Context triple: [motion W, visualIdentityRole, core element of Wisconsin Badgers brand]
-
A.
visualIdentity
Indicates the relationship in which one entity defines, shapes, or represents the visual appearance and branding style of another entity.
-
B.
visualIdentityDesigner
Indicates that an entity is responsible for creating or shaping the visual identity or visual branding of another entity.
-
C.
brandingRole
chosen
Indicates the specific function or responsibility an entity has in creating, managing, or representing a brand within a branding context.
-
D.
visualTrademark
Indicates that one entity serves as a visual trademark or logo representing another entity.
-
E.
displayRole
Indicates the role or position an entity holds in the context of how it is presented or shown in a display.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81334e08190a77d760e507d00ed |
completed | April 14, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69de8c02e5c08190943c27594026faf7 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.