Triple

T11995705
Position Surface form Disambiguated ID Type / Status
Subject Crites E285522 entity
Predicate mediaFranchise P7740 FINISHED
Object Critters E285519 NE FINISHED

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: Critters | Statement: [Crites, mediaFranchise, Critters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Critters
Context triple: [Crites, mediaFranchise, Critters]
  • A. Critters Buggin
    Critters Buggin is an experimental jazz-fusion and improvisational rock band known for its eclectic, genre-blending sound and innovative live performances.
  • B. Critter Country
    Critter Country is a themed land at Disneyland known for its rustic woodland setting and attractions featuring animal characters.
  • C. Critters franchise chosen
    The Critters franchise is a series of American horror-comedy films centered on small, carnivorous alien creatures that terrorize humans.
  • D. Creatures
    Creatures is a Japanese video game and entertainment company best known for its major role in developing and managing the Pokémon franchise, including games, trading cards, and related media.
  • E. Critters 3
    Critters 3 is a 1991 direct-to-video horror-comedy film in the Critters franchise, best known for featuring Leonardo DiCaprio in his film debut.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b211688190bfe6dd15c3f96d2f completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f640b9a481908de1b7858e3db52c completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:46 p.m.