do survival task and learners support Surv(time1, time2, status) encoding?

[zhiweill]

In survival package, the most common way to encode time-dependent covariates is to use the (start, stop] form
of the model: Surv(time1, time2, status). Below is what the timedep vignettes of survival package said:

In mlr3, as_task_surv() do have parameters time2, for example, as_task_surv(mydata, time = "time1",time2 = "time2", event = "status"). However, when I run the codes below, the selected feature included the time2.

lrn = lrn("surv.cv_glmnet")
lrn$train(mytask, split$train)
lrn$selected_features()

Does it mean the surv learners like glmnet regard the time2 as the predictor instead of the response variable Surv(...)? What survival models in mlr3 support Surv(time1, time2, status) encoding?

Thanks!!!