Recognises one knobit identity under two names
Two live knobits with the same fingerprint: action, object, result, criterion.
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 | 83% | Not shown |
| gemini-3.5-flash-lite | Low cost | 83% | 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 knobit to keep and the name to move to alt_names
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: K-2 "Distinguishes regular income from one-off receipts" and K-9 "Separates recurring income from irregular inflows" Acceptable: One knobit; the other wording in alt_names and its links moved to it
Also known as: One identity under two names
Related knobits
Builds on
Usually followed by
All 16 knobits of Review a knobit register for assessment.
Source: Review checklist 01-knobit-register, row 2 (LCG KN-03)