Adding labels to multiple data points based on a condition [R]

I'm trying to get a plot that shows some important data points highlighted.

Dataset:

df <- structure(list(its = 1:20, pd = c(-0.521, -1.866, -0.11, 0.296, 
-0.14, -0.303, 0.141, 0.181, -0.116, 0.475, -0.117, 0.135, -0.139, 
-0.062, -0.098, 1.601, -0.093, -1.993, 2.249, 0.48)), class = "data.frame", row.names = c(NA, -20L))

Plotting:

ggplot(df, aes(x = its, y = pd)) + 
  geom_point(size = 2, shape = 1) +
  geom_hline(yintercept = c(-1.5, 1.5)) +
  theme_bw() +
  labs(x = "", y = "")
  scale_x_discrete(limits = factor(its))

I get the plot below.

My goal is adding labels to multiple data points based on a condition (pd < -1.5 or pd > 1.5).

So, the desired result is below (notice: labels are not only come from its vector. I also want to add I to them).

Tyr geom_label, with a filtered data argument and nudging.

library(gpglot2)
library(dplyr)

ggplot(df, aes(x = its, y = pd)) + 
  geom_point(size = 2, shape = 1) +
  geom_hline(yintercept = c(-1.5, 1.5)) +
  theme_bw() +
  labs(x = "", y = "") +
  geom_label(data=filter(df, pd < -1.5 | pd > 1.5),
             aes(label=paste0("I", its)),
             colour="red", nudge_x=0, nudge_y=0.2)