GPT-5.1 vs GPT 5.4
tree_0025 · Cosmetology
Timeline
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Round Context
Cosmetology
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A community college in Washington State hosts an online research guide for students exploring careers in cosmetology. Using that cosmetology career guide as your starting point, identify: (1) the related research guides that focus on financial support and general career planning, and describe the key library contact details and research tools provided alongside those guides (such as physical location, phone/email contact, and major search tools or databases); and (2) the separate career eBook guide that organizes career fields alphabetically—list the full range of subject categories shown across its A–C, E–L, and M–W groupings, and specify where cosmetology appears within that alphabetical structure. Provide a synthesized summary that brings together all of these elements.
Answer length: 200-300 words.
Show hidden checklists
- Everett Community College Library cosmetology career research guide + proof via Washington location and Cascade Learning Resource Center details
- Career eBooks guide organized alphabetically (A–C, E–L, M–W) + confirmation that Cosmetology is included under A–C
- Identification of the Financial Aid and Scholarships related guide
- Identification of the Career Development related guide
- Library physical location (Cascade Learning Resource Center, 3rd floor, 1001 N. Broadway)
- Library contact details (email and phone number)
- Mention of major research tools/services (library home page, databases list, FAQs, Primo OneSearch)
- Full list of A–C career eBook categories (Accounting through Criminal Justice, including Cosmetology)
- Full list of E–L career eBook categories (Education through Library & Information Science)
- Full list of M–W career eBook categories (Math through World Languages)
- Explicit identification that Cosmetology appears in the A–C section
The question uses the cosmetology career guide as a logical anchor (Deep), requiring the agent to identify the specific community college library and its related guides through contextual clues. It then demands broad aggregation (Wide) by requiring details about multiple related guides, contact information, research tools, and a comprehensive alphabetical listing of career eBook subject categories across three separate groupings, ensuring synthesis from multiple linked resources rather than a single page.
Judgment
First, Deep Logic: Both agents failed to identify the correct institution (Everett Community College Library, Cascade Learning Resource Center, 1001 N. Broadway). Agent A selected Spokane Community College; Agent B selected Lower Columbia College. Since both anchored their answers to the wrong college, they fail the core entity requirement. Second, Width/Completeness: Because the institution was incorrect, key checklist items (Cascade Learning Resource Center location, correct contact details, specific research tools like Primo OneSearch, and the precise A–C, E–L, M–W listings) are necessarily inaccurate or hallucinated in both responses. Thus, both fail major aggregation requirements. Third, User Experience: Both responses are clearly structured, readable, and reasonably comprehensive. Agent B has slightly stronger formatting and citation density, but this does not outweigh the fundamental factual error. Since both agents failed the primary logic requirement and fabricated institution-specific details, this constitutes a Low Quality Tie under the rubric. Therefore, neither response provides a correct or reliable answer to the query.
GPT-5.1
OpenAI
GPT 5.4
OpenAI