### 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)

"""Number of mapped TaskInstances that can be created at run time.
        This considers both literal and non-literal mapped arguments, and the
        result is therefore available when all depended tasks have finished. The
        return value should be identical to ``parse_time_mapped_ti_count`` if
        all mapped arguments are literal.
        :raise NotFullyPopulated: If upstream tasks are not all complete yet.
        :raise NotMapped: If the operator is neither mapped, nor has any parent
            mapped task groups.
        :return: Total number of mapped TIs this task should have.
        """
        group = self.get_closest_mapped_task_group()
        if group is None:
            raise NotMapped
        return group.get_mapped_ti_count(run_id, session=session)
    def expand_mapped_task(self, run_id: str, *, session: Session) -> tuple[Sequence[TaskInstance], int]:
        """Create the mapped task instances for mapped task.
        :raise NotMapped: If this task does not need expansion.
        :return: The newly created mapped task instances (if any) in ascending
            order by map index, and the maximum map index value.
        """
        from sqlalchemy import func, or_
        from airflow.models.baseoperator import BaseOperator
        from airflow.models.mappedoperator import MappedOperator
        from airflow.models.taskinstance import TaskInstance
        from airflow.settings import task_instance_mutation_hook
        if not isinstance(self, (BaseOperator, MappedOperator)):
            raise RuntimeError(f"cannot expand unrecognized operator type {type(self).__name__}")
        try: