I want to detect when two entries refer to the same person even if one includes extra parts like a last name.

This feature helps identify when two records likely refer to the same person even if the name formats differ, such as one entry including a last name and the other not. It reduces duplicate records and improves data consistency across lists and systems.

This feature detects potential matches between two person entries when one contains additional name components, such as a last name, middle name, or suffix. It supports common variations in how people are recorded, including abbreviated forms, reordered parts, and partial names. The goal is to surface likely duplicates so you can review and confirm whether they refer to the same individual. It can be used when importing contact lists, cleaning up existing databases, or reconciling records from different sources. By highlighting probable matches, it helps prevent duplicate profiles and reduces fragmentation of history, notes, or transactions across multiple entries. It also improves search and reporting accuracy by consolidating records that would otherwise be treated as separate people. The feature is particularly useful in environments where different teams enter names differently or where data is collected from forms with inconsistent formatting. It can be applied during data entry, batch processing, or periodic data quality checks. Results can be used to merge records, link them, or flag them for manual verification depending on your workflow.