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PatternsEntity matchingsameAs

Entity alignment

Deciding whether two records describe the same entity, with one Score per pair plus companion Nouls for the fields that disagree.

Category
Patterns
Also known as
Entity matching, sameAs
Related terms
4
Directory entries
1
Docs
docs.typesafe.ai
Added
2026-09-24

Definition

The cookbook scores 450 candidate beer pairs from two catalogues with a three-level Score per pair: 40 assert sameAs, 50 go to a curator, and 360 stay unlinked. Companion Nouls about name, brewery, and style localize disagreements, while ABV stays in arithmetic.

There is no fitted threshold: route() rounds the score to the nearest level, so the middle level's wording drives behavior, and the middle is explicitly a curator path rather than an automatic merge.

Tagspatternsclassificationextraction

From the directory

Decide which of 450 candidate product pairs from two beer catalogues describe the same entity: one three-level Score per pair splits 40 merges, 50 curator reviews, and 360 non-matches.
Cookbooks & DemosDocs#official#cookbook#entity-matching
Official

From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

An open 151M-parameter decision engine

TypeSafe AI came out of stealth with Jev, and access is behind a waitlist. I built an open source version Verdict (Open-jev) you can run right now in a browser tab: And its a real post trained model..(link in comments) It is a post trained 151M parameters model. ModernBERT-base Show more

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Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

Reply

Agent Handoff Gate: agents verify what they hand off

A local Telegram analyzer with Jev as the classifier

I vibe-coded this simple, open-source and local Telegram content analyzer using Jev as a classifier. Jev Classifier • jevclassifier.vercel.app Export your channel data as JSON and it will analyze each post's intent, quality, sentiment, and reaction tone and if it's a DM/Group Show more

Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

Reply

A Krunker-inspired FPS, decided by Jev

Maybe I’m just washed, but Jev is beating me at my own game. Built a Krunker-inspired FPS where you 1v1 Jev. Try it out yourself: jev-arcade.vercel.app/duel

Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

Reply

Pixel art out of 256 multiple-choice questions

I turned @typesafeai Jev model into a pixel art model. 256 multiple choice questions, one per pixel, plus refinement passes. These were the best results out of the bunch I tested. Code: github.com/Wizhill05/type…

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Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

Reply

An Elixir port of the official SDK