Triple

T14383596
Position Surface form Disambiguated ID Type / Status
Subject Stuart Card E356668 entity
Predicate notableWork P4 FINISHED
Object GOMS model of user interaction E874567 NE FINISHED

How this triple was built (2 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: GOMS model of user interaction | Statement: [Stuart Card, notableWork, GOMS model of user interaction]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GOMS model of user interaction
Context triple: [Stuart Card, notableWork, GOMS model of user interaction]
  • A. GOMS model of human–computer interaction chosen
    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.
  • B. “Usability Engineering: Scenario-Based Development of Human-Computer Interaction”
    “Usability Engineering: Scenario-Based Development of Human-Computer Interaction” is a foundational book by John M. Carroll that introduces scenario-based design as a practical framework for creating and evaluating user-centered interactive systems.
  • C. 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.
  • D. Card, Moran, and Newell keystroke-level model
    The Card, Moran, and Newell keystroke-level model is a predictive human–computer interaction framework that estimates expert user task completion times by decomposing actions into low-level operations like keystrokes, mouse movements, and mental preparation.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900d28c88190a37feee4743563de completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc0c9708190b5025e9675e0e925 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:16 a.m.