dspy-entity-disambiguation-prompt.txt

System message:

Your input fields are:
1. `sample` (Scholar): A sample scholar record
2. `reference_records` (list[Reference]): A list of reference records from the official Nobel Prize API
Your output fields are:
1. `output` (int): Most similar reference record to the sample record
2. `confidence` (Literal['high', 'low']): The confidence level of mapping the sample record to one of the reference records
All interactions will be structured in the following way, with the appropriate values filled in.

[[ ## sample ## ]]
{sample}

[[ ## reference_records ## ]]
{reference_records}

[[ ## output ## ]]
{output}        # note: the value you produce must be a single int value

[[ ## confidence ## ]]
{confidence}        # note: the value you produce must exactly match (no extra characters) one of: high; low

[[ ## completed ## ]]
In adhering to this structure, your objective is: 
        Return the reference record `id` that's most likely the same person as the sample record.
        - The result must contain ONLY ONE reference record `id`
        - Also return the confidence level of the mapping based on your judgment.


User message:

[[ ## sample ## ]]
{"name": "Aage Bohr", "category": "Physics"}

[[ ## reference_records ## ]]
[{"id": 27, "knownName": "Niels Bohr", "fullName": "Niels Henrik David Bohr", "category": "Physics"}, {"id": 103, "knownName": "Ben R. Mottelson", "fullName": "Ben Roy Mottelson", "category": "Physics"}, {"id": 102, "knownName": "Aage N. Bohr", "fullName": "Aage Niels Bohr", "category": "Physics"}]

Respond with the corresponding output fields, starting with the field `[[ ## output ## ]]` (must be formatted as a valid Python int), then `[[ ## confidence ## ]]` (must be formatted as a valid Python Literal['high', 'low']), and then ending with the marker for `[[ ## completed ## ]]`.


Response:

[[ ## output ## ]]
102

[[ ## confidence ## ]]
high

[[ ## completed ## ]]


Sample 'Aage Bohr' -> Reference ID 102
Matched record: id=102 knownName='Aage N. Bohr' fullName='Aage Niels Bohr' category='Physics'