Triple
T13653041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Image Quilting for Texture Synthesis and Transfer |
E326786
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | texture synthesis method |
C33321
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: texture synthesis method Context triple: [Image Quilting for Texture Synthesis and Transfer, instanceOf, texture synthesis method]
-
A.
chance-based composition method
A chance-based composition method is a creative process in which elements of a work are determined by random or probabilistic procedures rather than solely by the creator’s intentional choices.
-
B.
textile
A textile is a flexible material made by interlacing, knitting, felting, or bonding fibers or yarns to create fabrics used in clothing, furnishings, and various industrial applications.
-
C.
image upscaling technology
Image upscaling technology is a set of algorithms and tools that increase the resolution and apparent quality of digital images by intelligently adding or refining pixel data, often using advanced methods like machine learning or deep learning.
-
D.
mosaic
A mosaic is an artwork or decorative surface composed of small, often colored pieces of materials such as glass, stone, or tile arranged to form patterns or images.
-
E.
image generation model
An image generation model is an AI system that creates new images from input data such as text prompts, reference images, or learned patterns, using techniques like deep neural networks and generative modeling.
- F. None of above. chosen
Provenance (1 batch)
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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
Created at: April 9, 2026, 9:52 p.m.