Triple
T14341966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Shneiderman |
E355625
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Readings in Information Visualization: Using Vision to Think |
E874566
|
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: Readings in Information Visualization: Using Vision to Think | Statement: [Ben Shneiderman, 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: [Ben Shneiderman, notableWork, Readings in Information Visualization: Using Vision to Think]
-
A.
Readings in Information Visualization: Using Vision to Think
chosen
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.
-
B.
The Craft of Information Visualization
The Craft of Information Visualization is a foundational book that compiles influential research papers and case studies on designing and evaluating effective visual representations of data and information.
-
C.
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information is a seminal 1982 book by David Marr that laid the foundations of computational neuroscience and modern theories of visual perception.
-
D.
IEEE Visualization conference
The IEEE Visualization conference is a premier annual research conference focused on advances in scientific and information visualization, bringing together experts from academia and industry to present and discuss cutting-edge visualization techniques and systems.
-
E.
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.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e87febc8190a63c668cbd0fd713 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c3f81e881909f742d0442e99dd6 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:14 a.m.