Coordinate equivalent output from `component_dict` across list and dict inputs

Currently if a list is passed as a `component_graph` to a pipeline, the `component_dict` outputs the class object as the first item in the value of the list within `_make_component_dict_from_component_list`
```
class LinearRegressionPipeline(RegressionPipeline):
"""Linear Regression Pipeline for regression problems."""

component_graph = [
"One Hot Encoder",
"Imputer",
"Standard Scaler",
"Linear Regressor",
]
custom_name = "Linear Regression Pipeline"

def __init__(self, parameters, random_seed=0):
super().__init__(
self.component_graph,
parameters=parameters,
custom_name=self.custom_name,
random_seed=random_seed,
)

pipeline_ = LinearRegressionPipeline({})
print(pipeline_.component_graph.component_dict)
----------------------------------------------------------
{'Imputer': [,
'One Hot Encoder.x',
'y'],
'Linear Regressor': [,
'Standard Scaler.x',
'y'],
'One Hot Encoder': [,
'X',
'y'],
'Standard Scaler': [,
'Imputer.x',
'y']}
```

If a dictionary is passed, then the name of the component is passed instead since the `component_graph` is passed directly to the `ComponentGraph` class
```
component_graph = {
"Imputer": ["Imputer", "X", "y"],
"Target Imputer": ["Target Imputer", "X", "y"],
"OneHot_RandomForest": ["One Hot Encoder", "Imputer.x", "Target Imputer.y"],
"OneHot_ElasticNet": ["One Hot Encoder", "Imputer.x", "y"],
"Random Forest": ["Random Forest Classifier", "OneHot_RandomForest.x", "y"],
"Elastic Net": ["Elastic Net Classifier", "OneHot_ElasticNet.x", "y"],
"Logistic Regression": [
"Logistic Regression Classifier",
"Random Forest.x",
"Elastic Net.x",
"y",
],
}
----------------------------------------------------------
{'Elastic Net': ['Elastic Net Classifier', 'OneHot_ElasticNet.x', 'y'],
'Imputer': ['Imputer', 'X', 'y'],
'Logistic Regression': ['Logistic Regression Classifier',
'Random Forest.x',
'Elastic Net.x',
'y'],
'OneHot_ElasticNet': ['One Hot Encoder', 'Imputer.x', 'y'],
'OneHot_RandomForest': ['One Hot Encoder', 'Imputer.x', 'Target Imputer.y'],
'Random Forest': ['Random Forest Classifier', 'OneHot_RandomForest.x', 'y'],
'Target Imputer': ['Target Imputer', 'X', 'y']}
```

Since `component_dict` is easily accessible for OS users, this should be standardized.