### Apache Airflow version

main (development)

### Operating System

macOS 11.5.2

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_No response_

### What happened

If your first try fails and you have retries enabled, the subsequent tries skip right to the final `next_method(**next_kwargs)` instead of starting with `execute` again.

### What you expected to happen

Like we reset things like start date, we should wipe `next_method` and `next_kwargs` so we can retry the task from the beginning.

### How to reproduce

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] 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)

airflow/models/taskinstance.py
from airflow.stats import Stats
from airflow.ti_deps.dep_context import DepContext
from airflow.ti_deps.dependencies_deps import REQUEUEABLE_DEPS, RUNNING_DEPS
from airflow.timetables.base import DataInterval
from airflow.typing_compat import Literal
from airflow.utils import timezone
from airflow.utils.email import send_email
from airflow.utils.helpers import is_container
from airflow.utils.log.logging_mixin import LoggingMixin
from airflow.utils.net import get_hostname
from airflow.utils.operator_helpers import context_to_airflow_vars
from airflow.utils.platform import getuser
from airflow.utils.session import create_session, provide_session
from airflow.utils.sqlalchemy import ExtendedJSON, UtcDateTime
from airflow.utils.state import DagRunState, State
from airflow.utils.timeout import timeout
try:
    from kubernetes.client.api_client import ApiClient
    from airflow.kubernetes.kube_config import KubeConfig
    from airflow.kubernetes.pod_generator import PodGenerator
except ImportError:
    ApiClient = None
TR = TaskReschedule
Context = Dict[str, Any]
_CURRENT_CONTEXT: List[Context] = []
log = logging.getLogger(__name__)
if TYPE_CHECKING:
    from airflow.models.dag import DAG, DagModel, DagRun
@contextlib.contextmanager
def set_current_context(context: Context):