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Human trafficking is a challenging law enforcement problem, and a largeamount of such activity manifests itself on various online forums. Given thelarge, heterogeneous and noisy structure of this data, building models topredict instances of trafficking is an even more convolved a task. In thispaper we propose and entity resolution pipeline using a notion of proxy labels,in order to extract clusters from this data with prior history of humantrafficking activity. We apply this pipeline to 5M records from backpage.comand report on the performance of this approach, challenges in terms ofscalability, and some significant domain specific characteristics of ourresolved entities.

An Entity Resolution approach to isolate instances of Human Trafficking online