Entity Extraction Pipeline
by AaaS · open-source · Last verified 2026-03-01
Extracts named entities and relationships from unstructured text at scale using LLM-powered NER with custom entity type support. Outputs structured data with entity linking, relationship graphs, and confidence scores for knowledge graph construction.
https://aaas.blog/script/entity-extraction-pipeline ↗C
C—Below Average
Adoption: C+Quality: B+Freshness: ACitations: CEngagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- entity-extraction, relationship-extraction, entity-linking, custom-entity-types, graph-output
- Integrations
- openai, anthropic, spacy, pandas, networkx
- Use Cases
- knowledge-graph-building, compliance-scanning, intelligence-analysis, content-enrichment
- API Available
- No
- Language
- python
- Dependencies
- openai, anthropic, spacy, pandas, networkx
- Environment
- Python 3.11+ with spaCy models installed
- Est. Runtime
- 5-30 minutes depending on corpus size
- Tags
- script, automation, entity-extraction, nlp, structured-data
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
49.2Adoption
54
Quality
78
Freshness
80
Citations
48
Engagement
0