Triple

T10602348
Position Surface form Disambiguated ID Type / Status
Subject Stuart K. Card E275781 entity
Predicate notableWork P4 FINISHED
Object Readings in Information Visualization: Using Vision to Think
Readings in Information Visualization: Using Vision to Think is an influential anthology that compiles foundational research and key perspectives on how visual representations support human thinking and data analysis in the field of information visualization.
E874566 NE FINISHED

How this triple was built (4 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: Readings in Information Visualization: Using Vision to Think | Statement: [Stuart K. Card, notableWork, Readings in Information Visualization: Using Vision to Think]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Readings in Information Visualization: Using Vision to Think
Context triple: [Stuart K. Card, notableWork, Readings in Information Visualization: Using Vision to Think]
  • A. On Vision and Colors
    On Vision and Colors is Arthur Schopenhauer’s early philosophical treatise that expands and critiques Goethe’s color theory by offering a metaphysical and physiological account of human color perception.
  • B. The Psychology of Computer Vision (edited volume)
    The Psychology of Computer Vision is an influential edited volume, compiled by Patrick Henry Winston, that brings together foundational research exploring how principles of human perception and cognition can inform and advance computer vision.
  • C. Onyx visualization systems
    Onyx visualization systems are high-performance graphics supercomputers from SGI designed for advanced 3D visualization, simulation, and scientific computing applications.
  • D. ImageWorks: The What-If Labs
    ImageWorks: The What-If Labs is an interactive, hands-on exhibit at Epcot where guests can explore creativity and sensory illusions through playful, imaginative experiments.
  • E. Learning from Las Vegas
    Learning from Las Vegas is an influential architectural theory book by Robert Venturi, Denise Scott Brown, and Steven Izenour that helped define postmodern architecture by championing the symbolism and vernacular of commercial landscapes like the Las Vegas Strip.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Readings in Information Visualization: Using Vision to Think
Triple: [Stuart K. Card, notableWork, Readings in Information Visualization: Using Vision to Think]
Generated description
Readings in Information Visualization: Using Vision to Think is an influential anthology that compiles foundational research and key perspectives on how visual representations support human thinking and data analysis in the field of information visualization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Readings in Information Visualization: Using Vision to Think
Target entity description: Readings in Information Visualization: Using Vision to Think is an influential anthology that compiles foundational research and key perspectives on how visual representations support human thinking and data analysis in the field of information visualization.
  • A. On Vision and Colors
    On Vision and Colors is Arthur Schopenhauer’s early philosophical treatise that expands and critiques Goethe’s color theory by offering a metaphysical and physiological account of human color perception.
  • B. The Psychology of Computer Vision (edited volume)
    The Psychology of Computer Vision is an influential edited volume, compiled by Patrick Henry Winston, that brings together foundational research exploring how principles of human perception and cognition can inform and advance computer vision.
  • C. Onyx visualization systems
    Onyx visualization systems are high-performance graphics supercomputers from SGI designed for advanced 3D visualization, simulation, and scientific computing applications.
  • D. ImageWorks: The What-If Labs
    ImageWorks: The What-If Labs is an interactive, hands-on exhibit at Epcot where guests can explore creativity and sensory illusions through playful, imaginative experiments.
  • E. Learning from Las Vegas
    Learning from Las Vegas is an influential architectural theory book by Robert Venturi, Denise Scott Brown, and Steven Izenour that helped define postmodern architecture by championing the symbolism and vernacular of commercial landscapes like the Las Vegas Strip.
  • F. None of above. chosen

Provenance (5 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded61d5c8190b13890c964b59949 completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95eaffcd0819098e0a06a731b602f completed April 10, 2026, 8:33 p.m.
NEDg Description generation batch_69d961aaf71881908289244e0a490492 completed April 10, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69d9623cf54081908abcdc88e13d5176 completed April 10, 2026, 8:49 p.m.
Created at: April 8, 2026, 7:31 p.m.