Triple
T31946195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R1 button |
E815656
|
entity |
| Predicate | hasLabelStyle |
P1609
|
FINISHED |
| Object | white text on black plastic on DualShock controllers |
—
|
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: white text on black plastic on DualShock controllers | Statement: [R1 button, hasLabelStyle, white text on black plastic on DualShock controllers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLabelStyle Context triple: [R1 button, hasLabelStyle, white text on black plastic on DualShock controllers]
-
A.
hasStyle
chosen
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
B.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
C.
hasRuleStyle
Indicates that an entity is associated with a particular rule-based style or formatting specification.
-
D.
hasLabelSet
Indicates that an entity is associated with a specific collection or set of labels.
-
E.
hasStyleName
Indicates that an entity is associated with a particular style through a specific style name.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe7bfc94bc81909eeec946e8c1c450 |
completed | May 9, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69fe7b74a1188190886f128e07f712da |
completed | May 9, 2026, 12:10 a.m. |
Created at: May 1, 2026, 12:06 a.m.