In this presentation, I will build on Ines Montani's keynote, "Applied NLP in the Age of Generative AI," by demonstrating how to create an information extraction pipeline. This pipeline will include a text classifier to filter relevant articles, an entity recognizer to identify names and numeric data, and a relation extraction system developed with the help of a large language model (LLM) powered human-in-the-loop annotation process. The talk will focus on using the spaCy NLP library and the Prodigy annotation tool, although the principles discussed will also apply to other frameworks.