Design an Entity Resolution System

Design an ML system that identifies and merges duplicate records across multiple data sources (e.g., matching business listings, user profiles, or product catalogs). The system must handle noisy, incomplete data with different schemas, scale to hundreds of millions of records, and support human-in-the-loop verification. Consider blocking strategies, pairwise matching models, and transitive closure.