### Apache Airflow version

2.6.2

### What happened

All tasks were run 1 time. The try number is 2 for all tasks

### What you think should happen instead

Try number should be 1 if only tried 1 time

### How to reproduce

Run a task and use the UI to look up try number

### Operating System

centos

### 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)

form = DateTimeForm(data={"execution_date": execution_date})
                    return self.render_template(
                        "airflow/trigger.html",
                        form_fields=form_fields,
                        dag=dag,
                        dag_id=dag_id,
                        origin=origin,
                        conf=request_conf,
                        form=form,
                        is_dag_run_conf_overrides_params=is_dag_run_conf_overrides_params,
                        recent_confs=recent_confs,
                    )
            except json.decoder.JSONDecodeError:
                flash("Invalid JSON configuration, not parseable", "error")
                form = DateTimeForm(data={"execution_date": execution_date})
                return self.render_template(
                    "airflow/trigger.html",
                    form_fields=form_fields,
                    dag=dag,
                    dag_id=dag_id,
                    origin=origin,
                    conf=request_conf,
                    form=form,
                    is_dag_run_conf_overrides_params=is_dag_run_conf_overrides_params,
                    recent_confs=recent_confs,
                )
        if unpause and dag.get_is_paused():
            dag_model = models.DagModel.get_dagmodel(dag_id)
            if dag_model is not None:
                dag_model.set_is_paused(is_paused=False)