Insight for: Show HN: I am building a map of people who lived in the Roman Empire

This project demonstrates a novel application of AI in academic research, specifically digital humanities. The core innovation lies in using a high-end LLM to supervise and tune a lower-level AI for extracting and clustering names from historical inscriptions. This addresses the significant pain point of manual data processing in classical studies, offering a scalable, automated alternative. The F1 scores, while noted with caution, indicate a functional extraction capability. The 'AI supervised AI extraction' methodology represents an emerging trend in leveraging advanced models for complex data processing tasks, reducing human effort and accelerating research. While currently a personal project, the underlying methodology has B2B SaaS potential in specialized data extraction, historical archiving, or knowledge graph generation for niche academic or research markets.