{"id":38926,"date":"2026-02-13T21:27:16","date_gmt":"2026-02-13T20:27:16","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/knowledge-graph-datasets-extracted-from-ftx-collapse-articles-and-giuffre-v-maxwell-depositions\/"},"modified":"2026-02-13T21:27:16","modified_gmt":"2026-02-13T20:27:16","slug":"knowledge-graph-datasets-extracted-from-ftx-collapse-articles-and-giuffre-v-maxwell-depositions","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/knowledge-graph-datasets-extracted-from-ftx-collapse-articles-and-giuffre-v-maxwell-depositions\/","title":{"rendered":"Knowledge Graph Datasets Extracted From FTX Collapse Articles And Giuffre V. Maxwell Depositions"},"content":{"rendered":"

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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 \u2014 all extracted automatically via LLM. <\/p>\n

Two datasets available:<\/p>\n

– FTX Collapse \u2014 9 news articles \u2192 431 entities, 1,201 relations. https:\/\/juanceresa.github.io\/sift-kg\/ftx\/graph.html<\/a><\/p>\n

– Giuffre v. Maxwell \u2014 900-page deposition \u2192 190 entities, 387 relations. https:\/\/juanceresa.github.io\/sift-kg\/epstein\/graph.html<\/a><\/p>\n

Both are available as JSON in the repo. The tool that generated them is free and open source \u2014 point it at any document collection and it builds the graph for you: https:\/\/github.com\/juanceresa\/sift-kg<\/a><\/p>\n

Disclosure: sift-kg is my project \u2014 free and open source.<\/p>\n<\/div>\n

submitted by \/u\/garagebandj <\/a>
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