Triple
T30421167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wii Classic Controller |
E773904
|
entity |
| Predicate | controllerStyle |
P193888
|
FINISHED |
| Object | gamepad-style |
—
|
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: gamepad-style | Statement: [Wii Classic Controller, controllerStyle, gamepad-style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controllerStyle Context triple: [Wii Classic Controller, controllerStyle, gamepad-style]
-
A.
controllerShape
Indicates that one entity has the specified geometric or physical form used as a controller in an interaction or system.
-
B.
commandStyle
Indicates the manner or approach in which one entity issues commands or directives to another.
-
C.
operatorStyle
Indicates the manner or approach an operator uses to perform or manage an operation, such as their method, technique, or behavioral style in carrying out tasks.
-
D.
controlsType
Indicates that one entity has authority over, or the ability to direct or regulate, the type or category of another entity.
-
E.
cameraStyle
Indicates the characteristic visual approach or technique used by a camera in capturing or presenting imagery.
- F. None of above. chosen
Provenance (4 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
| PDg | Predicate description generation | batch_69fd592cc56081908ce456114d407616 |
completed | May 8, 2026, 3:31 a.m. |
Created at: April 29, 2026, 8:06 p.m.