The recorded ChatGPT responses are preserved. The context boxes and summaries explain how to read them.
Some code blocks remain unclassified. The labels describe the evidence shown in this session; they do not verify private system internals.
Evidence and sourcing
Proposed Records and Returned Search Data
ChatGPT identifies an enriched research record as a proposal.
This short turn distinguishes a proposed research record from information returned by a search tool. The source repeats the next turn’s prompt, so the duplicate is retained in the transcript.
ChatGPT acknowledges that its enriched research card was a proposed record. Such a record could combine the original query, search results, opened page content, and later assessments.
That assembled record cannot be used as evidence of the tool’s original response format. The next turn asks for a clearer distinction between documented structures and illustrative examples.
Two questions.
First: when you say what an ideal enriched research card would contain, and then show that JSON, is that the ideal you would receive from a fan-out query combined with your internal search? Is that what you are saying?
Second: for each of the result card types you listed, sports schedule event, finance result, image search result, news result, general web search result, give me the JSON shape of each one. Full JSON, every field you might receive, with sample data that represents the data type, so a string where a string goes and a number where a number goes.
Take your time. Include as much as you can find about all the different fields you might receive for each individual result card. Show me what that JSON would look like for each of them.
The earlier “ideal enriched research card” was a proposed research record, not an actual internal search payload. I’ll separate documented public schemas from non-public internal result objects and avoid inventing fields that are not exposed.