Recognises two catalogue entries for one object
Two entries with the same physical reference.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 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 | 5% | Not shown |
| gpt-6-luna | Low cost | 82% | Not shown |
| claude-haiku-5-5 | Low cost | 5% | 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: One entry with both sources
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: CE-053 and CE-054 both RP-03 Acceptable: One entry, two sources
Also known as: Two entries for one object
Related knobits
Builds on
All 12 knobits of Describe the catalogue entries.
Source: Review checklist 04-catalogue-entries, row 7 (DCAT; DMBOK)