diff --git a/regexps.qmd b/regexps.qmd
index 075481e..fab619c 100644
--- a/regexps.qmd
+++ b/regexps.qmd
@@ -247,8 +247,8 @@ These functions are naturally paired with `mutate()` when doing data cleaning.,
 
 ### Extract variables
 
-The last function we'll discuss comes from tidyr: `separate_wider_regex()`.
-It works like the `separate_wider_location()` and `separate_wider_delim()` functions that you learned about in @sec-string-columns but takes a vector of regular expressions rather than a vector of widths or a delimiter.
+The last function we'll discuss uses regular expressions to extract data out of one column into one or more new columns: `separate_wider_regex()`.
+It's a peer of the `separate_wider_location()` and `separate_wider_delim()` functions that you learned about in @sec-string-columns. These functions live in tidyr because the operates on (columns of) data frames, rather than individual vectors.
 
 Let's create a simple dataset to show how it works.
 Here we have some data derived from `babynames` where we have the name, gender, and age of a bunch of people in a rather weird format[^regexps-5]: