Claude Opus 4.1 vs GPT 5.4
tree_0025 · Cosmetology
Timeline
Arrow keys or j/k move between rounds.
Round Context
Cosmetology
Home
At a Washington state community college, the library provides a dedicated research guide for students pursuing cosmetology and other career-focused programs. Using that cosmetology-focused research guide as your starting point, identify the library’s associated research support resources (including related research guides, contact information, research tools, and the subject librarian with their contact details and disciplinary coverage). Then, from the same library system, compile the complete list of career-field eBook guides grouped alphabetically (A–C, E–L, and M–W), ensuring you include every specific field named across all three groupings. Provide all details in a structured summary.
Answer length: 200-300 words.
Show hidden checklists
- Everett Community College Library and Media Center cosmetology research guide identified as the anchor source
- Marianne Le correctly identified as the subject librarian, with matching contact details and subject areas
- Career eBooks Guides for Specific Career Fields correctly identified and fully aggregated across A–C, E–L, and M–W groupings
- Financial Aid and Scholarships research guide (including note of annual views)
- Career Development research guide
- Library contact email and phone number
- Physical location/address of the learning resource center
- Research tools listed (Databases, FAQs, Primo OneSearch, Library Home Page)
- Name of the subject librarian and email contact
- Full list of subjects covered by the subject librarian
- Complete A–C career eBook fields (Accounting through Criminal Justice, including Cosmetology)
- Complete E–L career eBook fields (Education through Library & Information Science)
- Complete M–W career eBook fields (Math through World Languages)
The question uses a cosmetology research guide at a specific community college library as the logical anchor (Deep), requiring the agent to identify the correct institution and subject librarian through contextual clues. It then demands broad aggregation (Wide) by requiring all related research support resources plus the complete, alphabetically grouped list of career-field eBook guides across three separate sections, ensuring the answer cannot be derived from a single snippet.
Judgment
Deep Logic Check: Both agents failed. The ground truth anchor is Everett Community College Library & Media Center with subject librarian Marianne Le. Agent A incorrectly identified Pierce College (wrong institution, wrong librarian, wrong guides). Agent B incorrectly identified Lower Columbia College (also wrong institution and librarian). Therefore, BOTH fail the core entity requirement. Width/Completeness: Because both selected the wrong library system, their research guides, librarian details, contact information, and career eBook lists are all misaligned with the required Everett CC system. This constitutes major hallucination across multiple checklist items (subject librarian, contact info, research tools, grouped career eBooks, etc.). User Experience & Presentation: While Agent B has better citation density and somewhat clearer grouping, this cannot compensate for the fundamental entity error. Agent A is also incorrect and less comprehensive. Since BOTH agents failed Deep Logic and produced incorrect institutional data, this is a LOW-quality tie. Conclusion: Both responses are factually unreliable due to incorrect core entity selection and extensive checklist failures.
Claude Opus 4.1
Anthropic
GPT 5.4
OpenAI