[JimmyRuska]

You should use both. Download wikidata and use the manually curated interconnected data available. You could argue it was compiled by the largest pool of neural networks ever assembled. Wikipedia data was curated content that was hierarchically and painstakingly interconnected by humans, the most advanced NN we know of :).

There's now discussion about how neural networks can succumb to data poisoning / adversarial attacks, because there are no immutable facts. Adding a mostly immutable fact table can help keep things grounded in reason. Most of these engines support complex inference abilities that can lead to unexpected connections.

ES is not really dead. It feels like many rules engines changed their names to "AI Intelligent Agents"-type wording to describe their product. Rete algorithm is similar rule based calculation, is still used to calculate FICO score, which you could say fits into the problems that may be better served by the latest Neural network models. Allegro graph lets you query using prolog and is often used for governance and compliance tools. RDFox is one of the latest inference engines that made major advancements in turning first order logic in datalog into parallel computation.

I'd imagine if you can build a neural network that can successfully interact with a ES knowledge base you could easily make a neural network as good as the one that won in jeopardy