Find a family-history age discrepancy by comparing original records
At a glance
A genealogist used ChatGPT to turn a pension transcription into a timeline and test an enlistment-age discrepancy. This workflow is listed under genealogy, family-history, research.
- Agents / tools
- ChatGPT
SourceBuilding a tool for these workflows? See weekly rates.
What they did
1) Start with a transcription of an ancestor's pension file, plus access to census records and the compiled military service record. Give ChatGPT the transcription and request a chronological service timeline. 2) Inspect dates and ages in the timeline. When an enlistment age conflicts with a birth date, check the census records yourself and supply their recorded ages for comparison. 3) Upload the military service record and ask whether it changes the story. Distinguish what wartime records actually say from explanations for the discrepancy. 4) Use the comparison to refine the research question and draft an account of the findings. Preserve uncertainty where the documents do not explain what happened.
How it went
The documents supported a soldier being about 15 while the Army recorded him as 18. The author produced a revised story but could not determine who supplied the incorrect age.
Worth knowing
The author emphasizes that the pension, military, and census records are the evidence; the AI conversation is not.
