Short answer: the entity resolution benchmark must transform public identity into reproducible metrics: owner coverage, identity conflict rate, relation integrity, alias hygiene, profile consistency and lifecycle accuracy. Google documents Organization, ProfilePage, and Article structured data, but does not publish a universal entity-resolution score.

Population

Define the firm, practices, services and priority experts. It does not automatically include every name in the org chart.

Versions the cohort so that a rebrand or reorganization does not change the denominator without a trace.

Baselines

For each entity keep:

  • canonical name;
  • aliases;
  • URL owner;
  • relation to firm/practice;
  • lifecycle status;
  • structured data;
  • critical external profiles;
  • last verified.

Metric 1: owner coverage

Numerator: priority entities with owner and canonical URL. Denominator: priority entities.

Metric 2: identity conflict rate

Numerator: material claims that describe the same entity differently. Denominator: verified eligible claims.

Metric 3: relationship integrity

Check the company-practice-service-person relationships. A partnership or client should not be classified as the same entity.

Metric 4: alias hygiene

Classifies aliases current, historical, regional, legacy-supported. Measure statusless or incorrectly presented aliases.

Metric 5: profile consistency

For priority external profiles check name, role, company and URL. Do not use all directories as the denominator.

Metric 6: lifecycle accuracy

Active, former, retired and historical must correspond to reality. An old profile may be historically correct, but wrong if it looks current.

Metric 7: structured-data alignment

The markup must reflect the visible page and the actual relationship. The presence of markup is not enough.

Metric 8: time-to-resolution

Separate detect, fix and verify. This metric shows where operating debt is accumulating.

Metric 9: regression rate

How many findings reappear after being closed? A good registry should reduce recurrence.

Metric 10: external naming stability

In a fixed query set, observe names and relationships. Treat the result as an external observation, not a truth source.

The denominators

Owner coverage uses entities. Conflict rate uses claims. Profile consistency uses priority profiles. Lifecycle accuracy uses entities with relevant status.

Do not mix populations into a composite score.

Observation window

Internal metrics can be recalculated monthly or at lifecycle events. External observations have a different cadence.

A rebrand closes the benchmark version and starts a new one.

False-attribution risks

  • role changes;
  • acquisitions;
  • rebranding;
  • site migration;
  • external directory updates;
  • PR;
  • Search or AI changes;
  • changing the rubric.

How do you deal with multi-jurisdictional firms

Keep legal entities and public brand separate. Regional differences may be legitimate.

How do you treat alliances

Alliance',member', vendor',client' and `partner network' must be distinct relationships. A logo does not prove common identity.

Agreement between evaluators

For severity and relationship type, take a sample and ask two raters to apply the rubric. If the disagreement is large, clarify the standard before the final benchmark.

How do you report

Shows unowned entities, P0/P1 conflicts, unclassified aliases, and lifecycle lag. Absolute volume should be displayed next to percentages.

Acceptance criteria

The benchmark is reproducible when:

  1. the cohort is versioned;
  2. the registry is saved;
  3. the denominators are explained;
  4. relation taxonomy is documented;
  5. aliases have status;
  6. external profiles are preselected;
  7. raw evidence is kept;
  8. severity rubric is stable;
  9. the change log is complete;
  10. external outcomes are separate.

How do you treat companies with several commercial brands

A group may have different brands for distinct practices or regional markets. The benchmark must preserve the relationship between the brand and the organization without turning legitimate variation into conflict. Add brand_scope, region and effective_from where the public context actually differs.

How do you handle profiles without direct control

It does not automatically penalize the entity for a directory that the firm cannot manage. Mark `external unresolved', keep first-party correct and report limit separately. Profile consistency must be calculated on the priority sources defined before.

How do you handle changing the rubric

If you redefine what P0, relation error or alias stale means, close the benchmark version. Do not compare percentages obtained with different headings as if they were the same trend.

Threshold of maturity

The program can switch to monitoring when owner coverage is stable, P0/P1 are rare, lifecycle events trigger updates and regressions are quickly detected. Extending the registry without a new risk is not an objective in itself.

How do you handle name changes over time

A serious benchmark keeps the version of the name and the time it was valid. If a practice is renamed, it does not retroactively rewrite all findings as if the new name had always been active. Versioning preserves history and avoids false regressions.

How do you handle missing data?

Use unknown and not applicable separately. The lack of an external profile is not automatically inconsistency; it may mean that the entity does not need that surface. It only penalizes conflicts with the expected state, not the absence itself.

How do you maintain comparability between periods

If you are adding many new entities, report the stable cohort separately from the extended cohort. Thus, improving owner coverage is not confused with changing the denominator.

Reproducibility note

Keep the version of the registry used at each run.

Claim ledger

  • FACT/EVIDENCE: Google documents Organization, ProfilePage and Article structured data.
  • PRACTITIONER GUIDANCE: entity resolution can be measured by ownership, consistency and lifecycle.
  • INFERENCE: a stable registry can reduce ambiguity and rework.
  • NOT PROVEN: a universal entity-resolution score used by Search or AI.

Conclusion

The useful benchmark measures bugs that the team can fix, not an abstract concept of authority. When the owners, relationships and lifecycle are clear, the firm can reduce contradictions without inventing an official score that does not exist.

Sources reviewed

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