Triple
T16306428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Heer |
E395926
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Vega visualization grammar
Vega visualization grammar is a declarative language and toolkit for creating, sharing, and reproducing interactive data visualizations on the web.
|
E1205482
|
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: Vega visualization grammar | Statement: [Jeff Heer, knownFor, Vega visualization grammar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vega visualization grammar Context triple: [Jeff Heer, knownFor, Vega visualization grammar]
-
A.
Plotly
Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
-
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.
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.
-
D.
Designer’s Guide to Creating Charts and Diagrams
Designer’s Guide to Creating Charts and Diagrams is a practical book on information design that teaches readers how to craft clear, engaging charts and diagrams, authored by graphic designer and information-graphics specialist Nigel Holmes.
-
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: Vega visualization grammar Triple: [Jeff Heer, knownFor, Vega visualization grammar]
Generated description
Vega visualization grammar is a declarative language and toolkit for creating, sharing, and reproducing interactive data visualizations on the web.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vega visualization grammar Target entity description: Vega visualization grammar is a declarative language and toolkit for creating, sharing, and reproducing interactive data visualizations on the web.
-
A.
Plotly
Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
-
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.
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.
-
D.
Designer’s Guide to Creating Charts and Diagrams
Designer’s Guide to Creating Charts and Diagrams is a practical book on information design that teaches readers how to craft clear, engaging charts and diagrams, authored by graphic designer and information-graphics specialist Nigel Holmes.
-
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.