Instruction: First, identify the target attributes from the provided list. Then, scan the product title, description, feature, and brand to extract the values associated with each target attribute. Finally, create a list of dictionaries, each containing the extracted attribute, its corresponding value, and the source where it was found.

Input:
Product title: Purple Fashion Clothes Outfit Dress+one Pairs Shoes for Barbie Doll
Product description: This Dress fits with:Barbie Doll,Vintage Barbie Doll,Silkstone Barbie Doll,Momoko Doll,Blythe Doll,Pullip Doll,Jenny Doll,Fashion Royalty Package includes:1 set Clothes for Barbie doll,Doll and Accessories are not included,clothes as picture. Dresses are made of satin,lace,silk,and tulle. All clothes are handmade and good quality,100% Brand new A great gift for your children ,your friends and yourself.
Product feature: Perfect fit for Barbie & other 30cm/11.5" dolls, Dresses are made of satin, lace, silk, and tulle, All clothes are handmade and good quality,100% Brand new, Package includes: 1 PC clothes+1 pairs shoes for barbie doll.(Doll and Accessories not included), A great gift for your children ,your friends and yourself
Product brand: DLKJ178
Target attributes: Type
Answer: attribute: type
value: barbie
source: product description
attribute: type
value: outfit
source: product title
attribute: type
value: dolls
source: product feature
attribute: type
value: fashion
source: product title
attribute: type
value: doll
source: product description
attribute: type
value: fashion
source: product description
attribute: type
value: barbie
source: product feature
attribute: type
value: barbie
source: product title