Article · Information Architecture

A Practical Guide to Entity Resolution

Enterprise context requires typed entities, source authority, temporal relationships and evidence lineage; a flat content index cannot supply those mechanics. This article examines a practical guide to entity resolution through concrete operating and evaluation questions.

The operating problem

Enterprise teams rarely lack records. They lack a dependable way to connect records that use different identifiers, owners, timestamps, permissions and definitions. A Practical Guide to Entity Resolution matters because a plausible synthesis can conceal those differences precisely when a decision needs them exposed.

The design task is therefore not merely to collect more content. It is to establish which system owns each information type, how records resolve to shared entities, what access survives connection, and how a reviewer can trace a material conclusion back to evidence.

Architecture and operating mechanics

CORIIO treats each source record as evidence with provenance. Normalization creates a usable representation without erasing the source identifier or version. Entity resolution proposes shared customers, products, capabilities, services and work; uncertain matches remain reviewable. Relationships carry observed time and supporting evidence rather than becoming unsupported graph facts.

Practical implications

• Model authority, identity, relationship and time separately from text similarity.
• Preserve the source and version behind every graph assertion.
• Route ambiguity and conflict to stewardship instead of silently merging.

Example evaluation

Begin with a question that crosses at least two authoritative systems. Record the expected entities, relevant evidence, inaccessible evidence, known conflict and acceptable refusal. Run the question after initial synchronization, after a permission change and after a source deletion. A useful result is not simply correct once: it remains explainable as the underlying enterprise changes.

Questions for an architecture review

• Which system is authoritative for each claim the experience may produce?
• Can the retrieval candidate set prove that inaccessible evidence was excluded?
• How are stale, missing and contradictory records represented?
• Which calculation or policy decision must remain deterministic?
• Which outcome requires an accountable human approval?
• What happens when the connector, model provider or workflow dependency is unavailable?