Triple
T8472881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VDP (Video Display Processor) |
E200318
|
entity |
| Predicate | spriteSizeSupport |
P82807
|
FINISHED |
| Object | multiple sprite sizes |
—
|
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: multiple sprite sizes | Statement: [VDP (Video Display Processor), spriteSizeSupport, multiple sprite sizes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spriteSizeSupport Context triple: [VDP (Video Display Processor), spriteSizeSupport, multiple sprite sizes]
-
A.
supportedBlockSizes
Indicates the specific block sizes that an entity is capable of handling or operating with.
-
B.
paletteSize
Indicates the number of distinct colors included in a given color palette.
-
C.
romSize
Indicates the amount of read-only memory (ROM) associated with an entity, typically measured as its storage capacity.
-
D.
cellSize
Indicates the physical dimensions or volume of a cell in a biological or computational context.
-
E.
frameSize
Indicates the size or dimensions of a frame associated with an entity.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f4fbf481909e4fd7c078b27477 |
completed | March 31, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69cbd104250c8190b4c499dcc9937494 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:11 p.m.