Triple

T23442217
Position Surface form Disambiguated ID Type / Status
Subject Loren Bouchard E565433 entity
Predicate notableWork P4 FINISHED
Object Home Movies NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Home Movies | Statement: [Loren Bouchard, notableWork, Home Movies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Home Movies
Context triple: [Loren Bouchard, notableWork, Home Movies]
  • A. Home Movies chosen
    Home Movies is an animated television sitcom created by Brendon Small and Loren Bouchard that follows a young aspiring filmmaker and his friends as they make amateur films while navigating childhood.
  • B. Movies!
    Movies! is an American digital multicast television network specializing in classic and older feature films, typically airing uncut and in their original aspect ratios.
  • C. Movie Movie
    Movie Movie is a 1978 satirical comedy film that parodies classic double-feature B-movies, featuring Trish Van Devere among its ensemble cast.
  • D. Entertainment Motion Pictures
    Entertainment Motion Pictures is a film production company involved in producing feature films such as the fantasy adventure movie "The Adventurer: The Curse of the Midas Box."
  • E. Star Movies
    Star Movies is a television channel primarily dedicated to broadcasting Hollywood and international movies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64654e88190b530958b27b32412 completed April 29, 2026, 6:33 a.m.
Created at: April 17, 2026, 5:51 p.m.