Knowledge Graph Datasets Extracted From FTX Collapse Articles And Giuffre V. Maxwell Depositions

I used sift-kg (an open-source CLI I built) to extract structured knowledge graphs from raw documents. The output includes entities (people, organizations, locations, events), relationships between them, and evidence text linking back to source passages — all extracted automatically via LLM.

Two datasets available:

– FTX Collapse — 9 news articles → 431 entities, 1,201 relations. https://juanceresa.github.io/sift-kg/ftx/graph.html

– Giuffre v. Maxwell — 900-page deposition → 190 entities, 387 relations. https://juanceresa.github.io/sift-kg/epstein/graph.html

Both are available as JSON in the repo. The tool that generated them is free and open source — point it at any document collection and it builds the graph for you: https://github.com/juanceresa/sift-kg

Disclosure: sift-kg is my project — free and open source.