Triple
T16306448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Heer |
E395926
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
“A Tour through the Visualization Zoo”
“A Tour through the Visualization Zoo” is a widely cited survey article that systematically introduces and categorizes a broad range of data visualization techniques and design patterns.
|
E1205487
|
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: “A Tour through the Visualization Zoo” | Statement: [Jeff Heer, notableWork, “A Tour through the Visualization Zoo”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “A Tour through the Visualization Zoo” Context triple: [Jeff Heer, notableWork, “A Tour through the Visualization Zoo”]
-
A.
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.
-
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.
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.
-
D.
task by data type taxonomy for information visualizations
The "task by data type taxonomy for information visualizations" is a foundational framework that categorizes visualization techniques based on the types of data they display and the user tasks they support, widely used to guide the design and evaluation of information visualizations.
-
E.
Visual Strategies: A Practical Guide to Graphics for Scientists and Engineers
"Visual Strategies: A Practical Guide to Graphics for Scientists and Engineers" is a handbook that teaches scientists and engineers how to design clear, effective, and visually compelling graphics to communicate their data and ideas.
- 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: “A Tour through the Visualization Zoo” Triple: [Jeff Heer, notableWork, “A Tour through the Visualization Zoo”]
Generated description
“A Tour through the Visualization Zoo” is a widely cited survey article that systematically introduces and categorizes a broad range of data visualization techniques and design patterns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: “A Tour through the Visualization Zoo” Target entity description: “A Tour through the Visualization Zoo” is a widely cited survey article that systematically introduces and categorizes a broad range of data visualization techniques and design patterns.
-
A.
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.
-
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.
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.
-
D.
task by data type taxonomy for information visualizations
The "task by data type taxonomy for information visualizations" is a foundational framework that categorizes visualization techniques based on the types of data they display and the user tasks they support, widely used to guide the design and evaluation of information visualizations.
-
E.
Visual Strategies: A Practical Guide to Graphics for Scientists and Engineers
"Visual Strategies: A Practical Guide to Graphics for Scientists and Engineers" is a handbook that teaches scientists and engineers how to design clear, effective, and visually compelling graphics to communicate their data and ideas.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288d5619081909d0f8157cc487877 |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa3353c8190825b31854a97220c |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a0020e282888190bb1d23b4876b4b75 |
completed | May 10, 2026, 6:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0021ba49808190bf69c22bc5c8d4da |
completed | May 10, 2026, 6:12 a.m. |
Created at: April 10, 2026, 5:06 a.m.