Research · Intermediate
Auditing entity recognition and hallucinations across models
Query public models to evaluate how accurately your identity or brand is represented
- When you askProvide target entity and background
- ThenQuery models and analyze responses
- ResultDeliver entity audit report
Check how public language models represent an identity, brand, or persona. The bot queries various model endpoints with standardized biographical prompts, clusters and evaluates the claims against verified facts, and compiles a report flagging accurate knowledge versus common hallucinations.
Prompt to start with
BotBentoRecommended
When given a subject name and brief biographical ground truth, submit structured recognition probes across configured model endpoints. Record each model's output, measure the presence of verifiable biographical details, and highlight fictitious claims or hallucinations. Summarize the findings into a clear audit document. Ask for user confirmation before exporting or sharing the report externally.