### Apache Airflow version

main (development)

### What happened

Task failing with error "missing upstream values" when running a dag with dynamic task group mapping
error -
```
[2022-11-23, 15:50:07 UTC] {abstractoperator.py:456} ERROR - Cannot expand <Task(_PythonDecoratedOperator): increment_and_verify.hello_there> for run manual__2022-11-23T15:49:59.771915+00:00; missing upstream values: ['x']
```

### What you think should happen instead

It should succeed 

### How to reproduce

Run the below dag code 
```
from airflow import DAG
from airflow.models.taskinstance import TaskInstance
from airflow.operators.dummy import DummyOperator
from datetime import datetime, timedelta
from airflow.decorators import task, task_group
with DAG(
    dag_id="taskmap_taskgroup",
    tags=["AIP_42"],
    start_date=datetime(1970, 1, 1),
    schedule_interval=None,
) as dag:

    @task
    def onetwothree():
        return [1,2,3]

    @task
    def hello_there(arg):
        print(arg)

    @task_group
    def increment_and_verify(x):
        hello_there(x)

    increment_and_verify.expand(x=onetwothree())>>DummyOperator(task_id="done")
```

### Operating System

mac os

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

@provide_session
    def _collect_errors(self, ti_status: _DagRunTaskStatus, session=None):
        def tabulate_ti_keys_set(ti_keys: Iterable[TaskInstanceKey]) -> str:
            
            sorted_ti_keys: Any = sorted(
                ti_keys,
                key=lambda ti_key: (
                    ti_key.run_id,
                    ti_key.dag_id,
                    ti_key.task_id,
                    ti_key.map_index,
                    ti_key.try_number,
                ),
            )
            if all(key.map_index == -1 for key in ti_keys):
                headers = ["DAG ID", "Task ID", "Run ID", "Try number"]
                sorted_ti_keys = map(lambda k: k[0:4], sorted_ti_keys)
            else:
                headers = ["DAG ID", "Task ID", "Run ID", "Map Index", "Try number"]
            return tabulate(sorted_ti_keys, headers=headers)
        err = ""
        if ti_status.failed:
            err += "Some task instances failed:\n"
            err += tabulate_ti_keys_set(ti_status.failed)
        if ti_status.deadlocked:
            err += "BackfillJob is deadlocked."
            deadlocked_depends_on_past = any(
                t.are_dependencies_met(
                    dep_context=DepContext(ignore_depends_on_past=False),
                    session=session,