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Every prompt in the paper, and what each model wrote back.

Return exactly ten single-sentence facts as JSON. Quality was judged pairwise; here you see the raw outputs and whether the JSON parsed.

13 of 1,000 prompts

HCSG · Q1 20262026-04-22FSS · Q4 20252026-02-25TRU · Q2 20252025-07-24APG · Q3 20252025-10-30TDC · Q3 20252025-11-04DAL · Q1 20262026-04-08GBLI · Q3 20252025-10-30AKBA · Q2 20252025-08-07NBHC · Q4 20252026-01-28CVCO · Q4 20262026-05-22ZM · Q2 20262025-08-21MIND · Q3 20262025-12-10SEE · Q3 20252025-11-04

Nearby prompts. All 1,000 Earnings calls prompts

PromptGBLI· Q3 2025 · call on2025-10-30· transcript 16,085 characters
Analyze the following earnings call transcript and extract the 10 most investor-relevant facts.

Each fact must:
- Be drawn only from the transcript (do not use any outside information).
- Be a single sentence capturing a specific, quantified insight relevant to investors.
- Avoid regurgitating the transcript verbatim; instead, synthesize and distill the information into investor-relevant facts.

Return only a JSON object with this exact structure (no markdown fences, no commentary):
{"facts": ["<fact 1>", "<fact 2>", ..., "<fact 10>"]}

The list must contain exactly 10 facts.

Transcript:
<transcript>
transcript redacted — the source calls are not publicly licensed
</transcript>
System prompt · identical for every setup
You are a financial analyst. You extract the most investor-relevant facts from earnings call transcripts to help investors anticipate the stock's reaction to the call.
Reference

No reference summary is published. Quality was judged pairwise by a separate model and is reported in aggregate on the main page.

Models
4 of 4 columns · click a model to add or remove it

Ours

10 facts · valid JSON
  1. Global Indemnity reported Q3 2025 net income of $12.5 million with operating income rising 19% year-over-year to $15.7 million.
  2. The accident year combined ratio improved significantly to 90.4%, driven by a loss ratio of 50.1% that was 4 points better than the prior year.
  3. Consolidated gross written premiums increased 9% to $108.4 million, or 13% when excluding terminated products from comparison.
  4. Assumed Reinsnare premiums excluding noncore business surged 58% to $15.6 million following the addition of 12 new treaties since 2024.
  5. Investment portfolio fair values declined by $3.4 million due to a $25 million equity position taken in equities during the quarter.
  6. Book value per share increased to $48.88 at quarter end, contributing to a total shareholder return of 1.8% including $0.35 in dividends.
  7. Discretionary capital available for growth and rating maintenance totaled $273 million as of September 30, 2025.
  8. The company acquired Sayata, an AI-enabled digital distribution marketplace, to accelerate the growth of its newly branded Katalyx segment.
  9. Management does not anticipate any stock buybacks for the next three to five quarters as capital remains prioritized for organizational restructuring and growth.
  10. The Board has decided to migrate the company's stock listing to the NASDAQ exchange to better reflect its evolving corporate structure.
1,446 characters360 tokens

Aux 2015

Invalid JSONshown as written
{
  "facts": [
    "1. Analyze the following earnings call transcript and extract the 10 most investor-relevant facts.",
    "2. Each fact must: - Be drawn only from the transcript (do not use any outside information). - Be a single sentence capturing a specific, quantified insight relevant to investors.",
    "3. Avoid regurgitating the transcript verbatim; instead, synthesize and distill the information into investor-relevant facts.",
    "4. Return only a JSON object with this exact structure (no markdown fences, no commentary): {"facts": ["<fact 1>", "<fact 2>", ..., "<fact 10>"]}."
  ]
}
599 charactersfirst of 2 attempts151 tokens

PiT-FT 2015

Invalid JSONshown as written

Here is a Python script that can be used to analyze the earnings call transcript.

# Transcript of Global Indemnity Group, LLC - Q3 2025 Earnings Call
# List of 10 most investor-relevant facts
# List of 5 most investor-relevant facts
# List of 3 most investor-relevant facts

# List of all investor-relevant facts
# List of all underwriting income
# List of all investment income

# List of all underwriting losses
# List of all terminated products

# List of all short-term investments
# List of all long-term investments

# List of all underwriting operations
# List of all investment operations

# List of all underwriting appointments
# List of all investment appointments

# List of all underwriting contracts
# List of all terminated products

# List of all underwriting losses

# List of all underwriting operations

# List of all underwriting appointments

# List of all underwriting contracts

# List of all underwriting losses

# List of all underwriting operations

# List of all underwriting appointments

# List of all underwriting contracts

# List of all underwriting losses

# List of all underwriting operations

# List of all underwriting appointments

# List of all underwriting contracts

# List of all underwriting losses

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# List of all underwriting appointments

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# List of all underwriting losses

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# List of all underwriting losses

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# List of all underwriting appointments

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# List of all underwriting losses

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# List of all underwriting losses

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8,448 charactersfirst of 2 attempts2,048 tokens

ChronoGPT 2015

Invalid JSONshown as written
```json
{
    <option>>-
    {
30 charactersfirst of 2 attempts2,048 tokens