Recognises a check failure with no capable owner
A check with no owner, or an owner who cannot fix the cause — a team name for a mailbox nobody reads, the data platform team for a defect in the source system's entry screen. The alert fires and everybody assumes someone else saw it.
Can AI do this?
AI does this partly Some of the tested AI models master this; others do not show it. 6 of 10 models master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 99% | Mastered |
| gemini-3.1-pro-preview | Flagship | 25% | Not shown |
| gpt-6-astra | Flagship | 99% | Mastered |
| claude-fable-5-1 | Flagship | 99% | Mastered |
| gemini-3.8-flash | Mid tier | 99% | Mastered |
| gpt-6.1-sol | Mid tier | 99% | Mastered |
| claude-sonnet-5-5 | Mid tier | 26% | Not shown |
| gemini-3.5-flash-lite | Low cost | 26% | Not shown |
| gpt-6-luna | Low cost | 65% | Not shown |
| claude-haiku-5-5 | Low cost | 99% | Mastered |
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 owner able to fix the cause
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: owner: absent; the check has failed every night for four months Acceptable: owner: "Payments data steward", the person who can get the source corrected, named in the rule (DQR-027)
Also known as: Failure nobody owns (data quality rule)
Related knobits
Builds on
All 31 knobits of Derive data quality rules.
Source: Review checklist 07-dq-rules, row 23; Loshin 2011; DMBOK2