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.