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OfficialCookbooks & DemosVerified 2026-09-20

Cookbook: Knowledge Graph Entity Alignment

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.

Open docs.typesafe.ai
Category
Cookbooks & Demos
Published by
TypeSafe AI
Author
—
Added
2026-09-20
Tagsofficialcookbookentity-matchingclassificationconfidence

Highlights

  • 450 Magellan beer pairs scored in one request each: 40 assert sameAs (8.9%), 50 go to a curator (11.1%), and 360 stay unlinked.
  • No fitted threshold: route() rounds the Score to the nearest of three levels, so the middle level's wording drives behavior.
  • Three Noul questions about name, brewery, and style ride along to localize disagreements, while ABV stays in arithmetic.

Watch out

A rounded three-level score is a routing policy rather than a calibrated match probability, so keep a curator path for the middle.

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Vercel's fx safety reviewer, 18x faster

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We're seeing extraordinary results from @typesafeai. Default mode in 𝚏𝚡 is auto, with a safety reviewer analyzing every command. That reviewer runs on GPT Luna today. Jev is up to 18x faster (p95) *and* more accurate. It's coming to @vercel AI Gateway and likely new default.

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