Entity Extraction
Pulling structured entities (people, places, orgs, dates) from text.
/ quick answer
Entity extraction converts unstructured text into typed fields. Modern approaches use an LLM with JSON mode and a schema instead of trained NER models. Pulling structured entities (people, places, orgs, dates) from text.
What is Entity Extraction?
Entity extraction converts unstructured text into typed fields. Modern approaches use an LLM with JSON mode and a schema instead of trained NER models.
What is an example of Entity Extraction?
From 'Acme signed with Notion on March 3', extract { org_a: 'Acme', org_b: 'Notion', date: '2026-03-03' }.
Why does Entity Extraction matter for AI and automation?
Pulling structured entities (people, places, orgs, dates) from text. It connects to the workflows, prompts and tool stacks linked on this page, so you can move from definition to execution without leaving Onexial.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Document Extraction Agent
A document extraction agent reads unstructured files — PDFs, scans, emails — and returns validated structured data.
Related workflows
Turn this into a repeatable process.
- →AI CRM Enrichment on Every New Lead
Every new lead gets automatically enriched with firmographics, LinkedIn and intent signal.
- →AI Invoice & Receipt Processing
Auto-extract, classify, and book inbound invoices.
- →Competitor Price Monitoring
Track competitor pricing pages daily and alert on changes.
- →Review Aggregation & Insight Pipeline
Turn scattered reviews into a monthly product-feedback report.
Related tool stacks
The tools that run it in production.
- →RAG Context Enrichment Stack
A technical stack designed to enrich the contextual data provided to a Retrieval Augmented Generation (RAG) system, improving the quality and depth of LLM responses.
- →AI Research & Knowledge Stack
Default toolset for analysts, founders and creators doing deep research with AI.
Comparisons & alternatives
Pick between the options.
- →ChatGPT vs Claude
Two leading conversational AI assistants compared across reasoning, writing, coding, and pricing.
- →Lovable vs Bolt
Two AI app builders compared on speed, backend, deployment, and production readiness.
- →OpenAI API vs Anthropic API
Choosing between the two leading LLM API providers for production apps.
- →Lovable vs Cursor
Prompt-to-app builder vs AI-assisted code editor — which one should you reach for?