Triple
T29181947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tandy 1000 series (compatible PSG) |
E739766
|
entity |
| Predicate | graphicsEnhancement |
P17160
|
FINISHED |
| Object | Tandy graphics (enhanced CGA) |
—
|
NE NERFINISHED |
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: Tandy graphics (enhanced CGA) | Statement: [Tandy 1000 series (compatible PSG), graphicsEnhancement, Tandy graphics (enhanced CGA)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphicsEnhancement Context triple: [Tandy 1000 series (compatible PSG), graphicsEnhancement, Tandy graphics (enhanced CGA)]
-
A.
imageProcessor
Indicates a relationship where an entity performs operations to analyze, transform, or manipulate images.
-
B.
graphics
chosen
Indicates a relationship where one entity is responsible for creating, providing, or handling visual representations or graphical content for another entity or context.
-
C.
textureContrast
Indicates a relationship where two surfaces or regions differ noticeably in their tactile or visual texture qualities.
-
D.
landscapeEffect
Indicates how a particular landscape or terrain influences or modifies the outcome, behavior, or characteristics of another entity or process.
-
E.
cropMilk
Indicates that one entity extracts or expresses milk from another entity, typically by squeezing or manipulating it.
- 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f66384473c81909fb9ff9037f56b67 |
completed | May 2, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:57 a.m.