Triple
T20349892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SNES Mouse |
E495979
|
entity |
| Predicate | buttonLabel |
P139790
|
FINISHED |
| Object | Left button |
—
|
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: Left button | Statement: [SNES Mouse, buttonLabel, Left button]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buttonLabel Context triple: [SNES Mouse, buttonLabel, Left button]
-
A.
buttonType
Indicates the specific category or style of a button within a user interface or control set.
-
B.
buttonPlacement
Indicates the spatial or positional arrangement of a button relative to other elements or within a given interface or context.
-
C.
badgeText
Indicates that a visual badge or label is associated with an entity, displaying specific text content.
-
D.
iconLabel
Indicates that a textual label or caption is associated with a specific icon.
-
E.
hasButtons
Indicates that an entity possesses one or more buttons as part of its features or design.
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6784eacf4819095504e541d1d284d |
completed | April 20, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69e57636b4808190bc2855af48a3ccdc |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:24 a.m.