Entity Extraction

Use AI to automatically extract entities and relationships from text

AI Entity Extraction

Extract entities and relationships from text using AI

Text to Analyze

Enter text containing information about people, organizations, concepts, or other entities

Max Entities: 10

1100

Confidence Threshold: 0.50

0.01.0

Extract relationships between entities

What is Entity Extraction?

Entity extraction uses AI to automatically identify and extract structured information from unstructured text.

People

Names and individuals

Organizations

Companies and institutions

Concepts

Ideas and topics

Use Cases

Document Analysis

Extract key entities from research papers, articles, or reports

Knowledge Base Building

Automatically populate your graph from existing content

Relationship Discovery

Find connections between entities mentioned in text

Tips for Best Results

•Provide clear, well-structured text for better extraction accuracy
•Lower confidence threshold to capture more entities (may include false positives)
•Enable relationship extraction to discover connections automatically
•Review extracted entities before adding them to your graph

Example Text

Try extracting entities from this sample text

“Apple Inc. was founded by Steve Jobs, Steve Wozniak, and Ronald Wayne in 1976. The company is headquartered in Cupertino, California and is known for products like the iPhone and MacBook. Tim Cook became CEO in 2011, succeeding Steve Jobs.”

This text contains several entities (people: Steve Jobs, Tim Cook; organization: Apple Inc.) and relationships (founded_by, located_in, succeeded_by).