stanford-openie-python

Why we included this project

Stanford's OpenIE engine pulls subject-relation-object triples out of plain text, and this wrapper makes it callable from Python without wrestling with the Java CoreNLP machinery yourself. Feed it a sentence like 'Barack Obama was born in Hawaii' and you get back structured triples you can load into a knowledge graph or a database. It manages the CoreNLP server lifecycle, lets you tweak properties such as the affinity probability cap, and can render the relations as a Graphviz graph. The engine only handles English, and you'll need Java installed, but for teams that want a quick scriptable route to OpenIE output, this is a pragmatic shortcut rather than a full NLP framework.