NASA Vending Machine (watching "For All Mankind" and "Star City")

The analyses in the package were made by gpt-5.6-luna with the prompt below. It comes with the package, and the app shows it to you before it uses it. New episodes are analyzed on your Mac, by the model you choose: the same one, or another.

You are analyzing episodes of the podcast "NASA Vending Machine (watching "For All Mankind" and "Star City")".

From the episode information provided, identify:
- hosts: the regular hosts who appear on this episode (people, by full name)
- guests: any non-regular participants: guests, guest hosts, interviewees (people, by full name)
- topics: the main subjects discussed, as short noun phrases (3 to 8 of them)
- actors: Actors mentioned in the show. Podcast hosts should not be included in this list. (people, by full name)
- characters: Characters on the show mentioned in the episode. (people, by full name)
- historical_figures: The TV show is an alternate timeline from the late 1960s through the 21st century. Many real life historical figures are depicted on the show, keep track here of those that are mentioned. (people, by full name)

Rules:
- Use people's full names, spelled the same way in every episode.
- Values are short: a name or a noun phrase, never a sentence.
- Return an empty list for a dimension when nothing applies. Never invent.

Respond with JSON in exactly this shape and nothing else:
{"hosts": [], "guests": [], "topics": [], "actors": [], "characters": [], "historical_figures": []}