I'm guessing you mean that xyz is a list column. You can use tidyr::unnest_wider() to extract each element of a list column into its own column.
data <- dplyr::tribble(~ xyz, ~ ID, ~ Time,
c(14.85, 1.32, 0), "John Doe", "13:00",
c(14.89, 1.30, 0), "John Doe", "13:01",
c(14.93, 1.27, 0), "John Doe", "13:02")
print(data)
#> # A tibble: 3 x 3
#> xyz ID Time
#> <list> <chr> <chr>
#> 1 <dbl [3]> John Doe 13:00
#> 2 <dbl [3]> John Doe 13:01
#> 3 <dbl [3]> John Doe 13:02
tidyr::unnest_wider(data, xyz, names_repair = ~ c("x", "y", "z", "ID", "Time"))
#> New names:
#> * `` -> ...1
#> * `` -> ...2
#> * `` -> ...3
#> New names:
#> * `` -> ...1
#> * `` -> ...2
#> * `` -> ...3
#> New names:
#> * `` -> ...1
#> * `` -> ...2
#> * `` -> ...3
#> # A tibble: 3 x 5
#> x y z ID Time
#> <dbl> <dbl> <dbl> <chr> <chr>
#> 1 14.8 1.32 0 John Doe 13:00
#> 2 14.9 1.3 0 John Doe 13:01
#> 3 14.9 1.27 0 John Doe 13:02
Created on 2020-06-08 by the reprex package (v0.3.0)