EP02: The Pipeline — 1.18 Million Entities and the Missing Third
TLDR Episode 2 of PAPER TRAIL introduces the 16-script processing pipeline that converted 2.1 million raw government documents into structured, searchable data...
8 investigations
Every Epstein Revealed investigation tagged #NER — reporting built on court filings, financial records, flight logs, and government document releases. Each article below examines where NER appears in the evidence, newest first. Browse the full tag index or all investigations.
TLDR Episode 2 of PAPER TRAIL introduces the 16-script processing pipeline that converted 2.1 million raw government documents into structured, searchable data...
TLDR Episode 10 of PAPER TRAIL covers the 863,000-email sub-corpus spanning Data Sets 9 and 11 — scanned printouts processed through Relativity litigation...
TLDR Data Set 9 (531,256 files) and Data Set 11 (331,655 files) together constitute 863,000 email documents — the largest sub-corpus. DS11 was publicly...
TLDR A pipeline of 27+ Python scripts transforms 2.1 million raw government documents into a searchable PostgreSQL database with 2.38 million extracted...
TLDR Data Set 9 is the largest single data set by file count: 531,256 email PDFs occupying 94.5 GB. It achieved a perfect disk-to-database match (zero delta),...
TLDR Seven production Scalable Vector Graphics (SVG) images — a type of image that stays sharp at any size — were created at 1920x1080 resolution with a...
TLDR Automated name detection software extracted 2,383,898 entities from 2.05 million documents — 57% organizations, 37% persons, 6% locations. Nearly one in...
TLDR Probabilistic entity resolution using a statistical matching method reduced 2.38 million raw Named Entity Recognition entries to 519,000 unified clusters...