gpt-graph. A simple, GPT-3 text to entity-relation graph generator

In plain words

gpt-graph uses GPT-3 to convert written text into entity-relation graphs, extracting entities, their relationships, and attributes like gender, size, and age. It processes large texts by breaking them into batches and merging results into a single graph, overcoming token limits through incremental node comparison. The tool is designed for anyone needing to visualize and structure information from unstructured text data, though entity deduplication could be refined.

written from the facts on this page · September 2026

From the sources

A simple text to entity-relation graph generator, powered by gpt3 - achousa/gpt-graph

In the maker’s words, at launch

Hi HN! This is a simple text to entity-relation graph generator, powered by gpt-3 davinci model. The purpose is to feed it actual written data, to obtain a graph representation of entities and relationships mentioned in the text. Also, being able to identify entity attributes like gender, size, age ... My initial…

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