Named entity recognition is an NLP task that automatically identifies and classifies key entities in text — names of people, organizations, locations, dates, monetary amounts — into predefined categories. It is the first step in many information extraction pipelines: a legal assistant can use NER to pull company names and contract dates from thousands of documents, and a healthcare system can extract patient names and drug mentions from clinical notes.