Triple
T14341964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Shneiderman |
E355625
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Designing the User Interface: Strategies for Effective Human–Computer Interaction
"Designing the User Interface: Strategies for Effective Human–Computer Interaction" is a foundational textbook in human–computer interaction that presents principles, guidelines, and methods for creating effective, user-centered interfaces.
|
E1093147
|
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: Designing the User Interface: Strategies for Effective Human–Computer Interaction | Statement: [Ben Shneiderman, notableWork, Designing the User Interface: Strategies for Effective Human–Computer Interaction]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Designing the User Interface: Strategies for Effective Human–Computer Interaction Context triple: [Ben Shneiderman, notableWork, Designing the User Interface: Strategies for Effective Human–Computer Interaction]
-
A.
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction is a foundational book in the field of human-computer interaction that systematically applies cognitive psychology to the design and evaluation of user interfaces.
-
B.
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.
-
C.
The Humane Interface
The Humane Interface is a seminal book by computer interface expert Jef Raskin that proposes human-centered principles and design guidelines for more intuitive and efficient user interfaces.
-
D.
GOMS model of human–computer interaction
The GOMS model of human–computer interaction is a cognitive modeling framework that predicts user performance by decomposing tasks into goals, operators, methods, and selection rules.
-
E.
Interactive Software Engineering
Interactive Software Engineering was a software company founded by Bertrand Meyer, best known for developing the Eiffel programming language and promoting object-oriented software engineering methods.
- 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: Designing the User Interface: Strategies for Effective Human–Computer Interaction Triple: [Ben Shneiderman, notableWork, Designing the User Interface: Strategies for Effective Human–Computer Interaction]
Generated description
"Designing the User Interface: Strategies for Effective Human–Computer Interaction" is a foundational textbook in human–computer interaction that presents principles, guidelines, and methods for creating effective, user-centered interfaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Designing the User Interface: Strategies for Effective Human–Computer Interaction Target entity description: "Designing the User Interface: Strategies for Effective Human–Computer Interaction" is a foundational textbook in human–computer interaction that presents principles, guidelines, and methods for creating effective, user-centered interfaces.
-
A.
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction is a foundational book in the field of human-computer interaction that systematically applies cognitive psychology to the design and evaluation of user interfaces.
-
B.
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.
-
C.
The Humane Interface
The Humane Interface is a seminal book by computer interface expert Jef Raskin that proposes human-centered principles and design guidelines for more intuitive and efficient user interfaces.
-
D.
GOMS model of human–computer interaction
The GOMS model of human–computer interaction is a cognitive modeling framework that predicts user performance by decomposing tasks into goals, operators, methods, and selection rules.
-
E.
Interactive Software Engineering
Interactive Software Engineering was a software company founded by Bertrand Meyer, best known for developing the Eiffel programming language and promoting object-oriented software engineering methods.
- 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.