Recognises a fuzzy rule merging household members
Name and address agree for different people.
Can AI do this?
Not settled yet The benchmark tested this, but the models' answers do not settle yet whether they master it. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 82% | Not shown |
| gemini-3.5-flash-lite | Low cost | 66% | Not shown |
| gpt-6-luna | Low cost | 83% | Not shown |
| claude-haiku-5-5 | Low cost | 83% | Not shown |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: The rule and the pairs it wrongly merges
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: MR-003 surname + address + first-name similarity ≥ 0.85 → auto-merge Acceptable: Date of birth must agree; otherwise clerical review
Also known as: Fuzzy rule merging household members
Related knobits
Builds on
All 16 knobits of Define the matching rules.
Source: Review checklist 03-matching, row 2 (FS; DMBOK)