Kimi K2 vs Gemini 3.1 Pro
tree_0012 · epguides.com * Main Menu Page
Timeline
Arrow keys or j/k move between rounds.
Round Context
epguides.com * Main Menu Page
TVmaze.com
A long-running online television episode catalog (active since the mid-1990s) lists thousands of TV series and links each episode title to one of two external entertainment databases for expanded details. It also instructs users to send episode corrections directly to the editors of those same databases. Identify these two external databases and, for each one, provide: (1) its founding year, (2) its original founder or parent company, (3) its current ownership or operational status, and (4) at least three types of episode-level information it provides (such as cast, summaries, or other metadata).
Answer length: 200-300 words.
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- TVmaze — Identified as one of the two external databases where episode titles link for expanded details and where corrections can be sent to its editors.
- TV.com — Identified as the second external database serving the same linked episode-detail and corrections function.
- Database 1: Founding year
- Database 1: Original founder or parent company
- Database 1: Current ownership or operational status
- Database 1: At least three types of episode-level information (e.g., guest stars, plot summaries, airdates, crew credits)
- Database 2: Founding year
- Database 2: Original founder or parent company
- Database 2: Current ownership or operational status
- Database 2: At least three types of episode-level information (e.g., guest stars, plot summaries, user ratings, reviews)
The question uses deep reasoning by requiring identification of the two specific databases based on their functional role (external episode-detail providers and correction recipients) rather than naming them directly. It then applies wide aggregation by requiring multiple verifiable attributes (founding year, ownership history, operational status, and detailed content features) for both entities, ensuring the respondent must gather and compare information from multiple independent sources.
Judgment
First, Deep Logic: The correct two databases are TVmaze and TV.com. Agent A identified IMDb + TV.com (missed TVmaze). Agent B identified IMDb + TVmaze (missed TV.com). Therefore, BOTH agents failed the core entity requirement. Second, Width/Completeness: For the databases they did include, both agents provided founding year, founder/parent, current ownership/status, and at least three episode-level information types. Structurally and factually, their sub-details are largely accurate. However, because each included one incorrect database (IMDb), both fail the WIDTH checklist in relation to the actual required pair. Third, User Experience & Presentation: Both responses are well-structured, clearly formatted with bold headers and bullet points, and provide rich contextual details. Agent B has slightly stronger citation density and clearer framing of epguides.com, but this does not outweigh the shared core factual error. Since BOTH agents failed the fundamental entity identification (Deep Logic), this is a LOW-quality tie despite otherwise strong formatting and completeness.
Kimi K2
Moonshot AI