Triple
T21832316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOS Technology VIC-II |
E539027
|
entity |
| Predicate | spriteWidth |
P145470
|
FINISHED |
| Object | 24 pixels |
—
|
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: 24 pixels | Statement: [MOS Technology VIC-II, spriteWidth, 24 pixels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spriteWidth Context triple: [MOS Technology VIC-II, spriteWidth, 24 pixels]
-
A.
spriteSizeSupport
Indicates that an entity supports handling or displaying sprites at specific sizes or resolutions.
-
B.
frameWidth
Indicates the measurement of how wide a frame is, typically specifying its horizontal extent or thickness.
-
C.
typicalWidth
Indicates the usual or characteristic width associated with an entity, as opposed to an exact or measured width in a specific instance.
-
D.
encodingWidth
Indicates the width dimension used when encoding a signal, image, or data stream.
-
E.
trackWidth
Indicates the lateral distance between two parallel tracks or wheels, typically measured from center to center.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a4d2d0819088ded045caeab52d |
completed | April 28, 2026, 12:27 p.m. |
| PD | Predicate disambiguation | batch_69e6be8c14748190bdcc44a14d50bea4 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c187bc548190b4ca13150f6bae38 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 6:55 p.m.