Triple

T14341975
Position Surface form Disambiguated ID Type / Status
Subject Ben Shneiderman E355625 entity
Predicate affiliation P10 FINISHED
Object University of Maryland Human–Computer Interaction Lab
The University of Maryland Human–Computer Interaction Lab is a pioneering research center known for foundational contributions to user interface design, information visualization, and usability engineering.
E1093151 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: University of Maryland Human–Computer Interaction Lab | Statement: [Ben Shneiderman, affiliation, University of Maryland Human–Computer Interaction Lab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Maryland Human–Computer Interaction Lab
Context triple: [Ben Shneiderman, affiliation, University of Maryland Human–Computer Interaction Lab]
  • A. Human-Computer Interaction Institute, Carnegie Mellon University
    The Human-Computer Interaction Institute at Carnegie Mellon University is a leading interdisciplinary research and education center focused on the design, study, and engineering of interactive computing systems and user experiences.
  • B. Center for Cognitive Interaction Technology
    The Center for Cognitive Interaction Technology is a research institute at Bielefeld University focused on advancing human-technology interaction through cognitive and intelligent systems.
  • C. Master of Human-Computer Interaction in Software Engineering
    The Master of Human-Computer Interaction in Software Engineering is a specialized graduate program that integrates user-centered design principles with advanced software engineering practices to prepare students for building complex interactive systems.
  • D. GVU Center
    GVU Center is an interdisciplinary research center at Georgia Tech focused on advancing human-computer interaction, computing technologies, and their impact on society.
  • E. Centre for User Involvement
    The Centre for User Involvement is a unit within Norway’s public health system that focuses on integrating patients’ and service users’ perspectives into health research, policy, and services.
  • 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: University of Maryland Human–Computer Interaction Lab
Triple: [Ben Shneiderman, affiliation, University of Maryland Human–Computer Interaction Lab]
Generated description
The University of Maryland Human–Computer Interaction Lab is a pioneering research center known for foundational contributions to user interface design, information visualization, and usability engineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: University of Maryland Human–Computer Interaction Lab
Target entity description: The University of Maryland Human–Computer Interaction Lab is a pioneering research center known for foundational contributions to user interface design, information visualization, and usability engineering.
  • A. Human-Computer Interaction Institute, Carnegie Mellon University
    The Human-Computer Interaction Institute at Carnegie Mellon University is a leading interdisciplinary research and education center focused on the design, study, and engineering of interactive computing systems and user experiences.
  • B. Center for Cognitive Interaction Technology
    The Center for Cognitive Interaction Technology is a research institute at Bielefeld University focused on advancing human-technology interaction through cognitive and intelligent systems.
  • C. Master of Human-Computer Interaction in Software Engineering
    The Master of Human-Computer Interaction in Software Engineering is a specialized graduate program that integrates user-centered design principles with advanced software engineering practices to prepare students for building complex interactive systems.
  • D. GVU Center
    GVU Center is an interdisciplinary research center at Georgia Tech focused on advancing human-computer interaction, computing technologies, and their impact on society.
  • E. Centre for User Involvement
    The Centre for User Involvement is a unit within Norway’s public health system that focuses on integrating patients’ and service users’ perspectives into health research, policy, and services.
  • 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_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_69fd469bc538819099ed5b7061cf140d completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd477d0dd4819084116b385077324c completed May 8, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69fd4828f44c81908903d1391c83cc60 completed May 8, 2026, 2:19 a.m.
Created at: April 10, 2026, 1:14 a.m.