Who should use the Entity Extraction workflow?
Teams or solo builders working on development tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
3-step pipeline — follow each step in order
1Setup · Step 1 of 3
Open task pageHybrid AI-Driven Extraction
Prepare inputs and settings through Hybrid AI-Driven Extraction before running entity extraction.
Why this matters
Hybrid AI-Driven Extraction sets up the foundation for entity extraction; clean inputs here reduce downstream rework.
What you get
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
2Input · Step 2 of 3
Open task pageData extraction in JSON format
Use Data extraction in JSON format to build supporting assets that improve entity extraction quality.
Why this matters
Data extraction in JSON format strengthens entity extraction by feeding better supporting material into the pipeline.
What you get
Supporting assets from data extraction in json format are prepared and connected to the main workflow.
3Core · Step 3 of 3
Open task pageEntity Extraction
Execute entity extraction with Entity Extraction to produce the primary document output.
Why this matters
This is the core step where entity extraction actually happens, so it determines baseline quality for everything after it.
What you get
A first-pass document output is generated and ready for refinement in the next steps.
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