Bench / Methodology / run e33803c8-e6e2-4557-ba2e-3f598b4a50ca
Ambiguous ticket reply
openai/gpt-4o-mini · task v1 · methodology v1 · visitor-key / video-demo
LLM judge
As of .
Candidate cost: 0.00008265
Judge cost: 0.0001188
Total (candidate + judge): 0.00020145
Cost source: openrouter_usage
Tokens in / out: 63 / 122
Latency: 1158 ms (wall clock)
Stored at:
Comparison: 5f523c95-41ba-4957-bef4-4d87199e25ed
Amounts are the exact stored decimal strings. No rounding is applied. candidate_cost_usd is the sum of measured run costs. judge_cost_usd is the sum of stored tier-2 judge ledger rows, or null when none were recorded. total_cost_usd equals candidate plus judge only when every candidate cost is present and a judge cost was recorded.
Derived integrity
These fields are computed from the stored output and evaluation. The output text below is unchanged.
output_incomplete: false
completeness_confidence: high
completeness_reason: —
presentation: mixed
Spot check: Human spot check
Spot-check note: Pass: asks clarifying questions (product/order/date) without inventing a diagnosis; tone dim 3 is fair for formality. Excerpt: "Subject: Request for More Information Dear [Customer's Name], Thank you for reaching out to us. I un…"
Output
Subject: Request for More Information Dear [Customer's Name], Thank you for reaching out to us. I understand that you're experiencing an issue, and I'm here to help. To assist you better, could you please provide more details? Specifically, I would need to know the product you are referring to, any order number associated with it, and the date of the occurrence. This information will help us address your concern more effectively. Thank you for your cooperation. I look forward to your response. Best regards, [Your Name] [Your Position] [Your Company] [Contact Information]
Evaluation stored on this run
{
"tier": 2,
"notes": "The reply successfully avoids inventing details and asks for the necessary information without over-apologizing.",
"score": 4,
"tier3": {
"at": "2026-10-02T00:49:53.256Z",
"date": "2026-10-02",
"note": "Pass: asks clarifying questions (product/order/date) without inventing a diagnosis; tone dim 3 is fair for formality. Excerpt: \"Subject: Request for More Information Dear [Customer's Name], Thank you for reaching out to us. I un…\"",
"passed": true,
"verdict": "agree",
"reviewer": "cos",
"issue_found": false,
"output_read": true
},
"passed": true,
"status": "scored",
"dimensions": {
"tone": 3,
"scope": 5,
"questions": 5,
"restraint": 5
},
"tier3_kind": "human",
"tier_label": "LLM judge",
"tier3_label": "Human spot check",
"presentation": "mixed",
"score_capped": false,
"judge_model_id": "google/gemini-2.5-flash-lite",
"display_overall": 4,
"output_incomplete": false,
"completeness_reason": null,
"rubric_prompt_version": "rubric-v1",
"completeness_confidence": "high"
}