Triple

T12087618
Position Surface form Disambiguated ID Type / Status
Subject Critters 4 E287847 entity
Predicate franchise P1500 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: [Critters 4, franchise, Critters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Critters
Context triple: [Critters 4, franchise, 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91514c78c8190bc1cd569e524e8b4 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a6d74888190aab150f1ceb2e9f1 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.