.struct.field + .filter PanicException instead of ColumnNotFoundError

[cmdlineluser]

Checks

• I have checked that this issue has not already been reported.
• I have confirmed this bug exists on the latest version of Polars.

Reproducible example

import polars as pl

df = pl.DataFrame({"a": [1], "b": [2]})

(df.select(pl.struct(pl.all()))
   .select(pl.first().struct.field("a", "b").filter(pl.col("foo") == 1))
)

# thread '<unnamed>' panicked at crates/polars-plan/src/utils.rs:360:79:
# called `Result::unwrap()` on an `Err` value: ColumnNotFound(ErrString("foo"))
# PanicException: called `Result::unwrap()` on an `Err` value: ColumnNotFound(ErrString("foo"))

Log output

No response

Issue description

It only happens when selecting multiple fields.

With a single field, the error is raised as expected:

(df.select(pl.struct(pl.all()))
   .select(pl.first().struct.field("a").filter(pl.col("foo") == 1))
)
# ColumnNotFoundError: "foo" not found

Expected behavior

No panic.

Installed versions

--------Version info---------
Polars:               1.7.1
Index type:           UInt32
Platform:             macOS-13.6.1-arm64-arm-64bit
Python:               3.12.2 (main, Feb  6 2024, 20:19:44) [Clang 15.0.0 (clang-1500.1.0.2.5)]

----Optional dependencies----
adbc_driver_manager:  <not installed>
cloudpickle:          <not installed>
connectorx:           <not installed>
deltalake:            <not installed>
fastexcel:            <not installed>
fsspec:               <not installed>
gevent:               <not installed>
great_tables:         <not installed>
hvplot:               <not installed>
matplotlib:           <not installed>
nest_asyncio:         <not installed>
numpy:                1.26.4
openpyxl:             <not installed>
pandas:               2.2.1
pyarrow:              15.0.2
pydantic:             <not installed>
pyiceberg:            <not installed>
sqlalchemy:           <not installed>
torch:                <not installed>
xlsx2csv:             <not installed>
xlsxwriter:           <not installed>