This seems somewhat outdated approach.

Agreed that centralizing identity is critical (which implies strong reconciliation systems, that can both do well on merges/splits/identity-shifts, but also need to enable backtracing to sources for each triple), but then I don't think it makes sense anymore to force ontology across all systems in the pipeline. As long as you give AI ability to do toolcalls/skills for each individual system and let it build up memory, then AI does much better job piecing together the actual practical ontology. You can give the observability AI to ask each system about it's state for the given piece of information and the AI should be free to make any toolcalls (e.g. call the specific system appropriately via CLI) it needs to gather the precise state.

I think human establishing the ontology gets in a way here, just let the AI poke the systems on its own via clean small interfaces.