Triple

T13653042
Position Surface form Disambiguated ID Type / Status
Subject Image Quilting for Texture Synthesis and Transfer E326786 entity
Predicate title P38 FINISHED
Object Image Quilting for Texture Synthesis and Transfer E326786 NE 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: Image Quilting for Texture Synthesis and Transfer | Statement: [Image Quilting for Texture Synthesis and Transfer, title, Image Quilting for Texture Synthesis and Transfer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Image Quilting for Texture Synthesis and Transfer
Context triple: [Image Quilting for Texture Synthesis and Transfer, title, Image Quilting for Texture Synthesis and Transfer]
  • A. Image Quilting for Texture Synthesis and Transfer chosen
    "Image Quilting for Texture Synthesis and Transfer" is a seminal computer graphics paper that introduced a patch-based method for generating and transferring realistic textures in images.
  • B. Thinking in Textures
    Thinking in Textures is an acclaimed debut EP by Australian musician Chet Faker that blends downtempo electronic production with soulful vocals and introspective songwriting.
  • C. Modeling image patches with a directed hierarchy of Markov random fields
    "Modeling image patches with a directed hierarchy of Markov random fields" is a research paper that introduces a probabilistic hierarchical model for capturing complex statistical structure in image patches using directed Markov random fields.
  • D. Pix2Pix
    Pix2Pix is a conditional generative adversarial network (cGAN) framework for paired image-to-image translation tasks, such as turning sketches into photos or maps into satellite images.
  • E. Scene Completion Using Millions of Photographs
    "Scene Completion Using Millions of Photographs" is a seminal computer vision and graphics paper that introduced a data-driven method for automatically filling in missing regions of images by searching a massive online photo collection for visually compatible patches.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc609676c8190b5b1cabe6b315142 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78affa3c481909dba71e2ce9f44c1 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:52 p.m.