Triple

T3694591
Position Surface form Disambiguated ID Type / Status
Subject Russell Carpenter E78425 entity
Predicate workedOn P3 FINISHED
Object Critters 2 E203142 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 2 | Statement: [Russell Carpenter, workedOn, Critters 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Critters 2
Context triple: [Russell Carpenter, workedOn, Critters 2]
  • A. Critters 2: The Main Course chosen
    Critters 2: The Main Course is a 1988 science-fiction horror-comedy film and sequel to the original Critters, featuring small alien creatures terrorizing a rural town.
  • B. 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.
  • C. Critters 4
    Critters 4 is a 1992 science fiction horror comedy film that continues the Critters franchise by sending the carnivorous alien creatures into outer space.
  • D. Critters franchise
    The Critters franchise is a series of American horror-comedy films centered on small, carnivorous alien creatures that terrorize humans.
  • E. Critter Country
    Critter Country is a themed land at Disneyland known for its rustic woodland setting and attractions featuring animal characters.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4eafd348190986f69aee787fd8f completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3d0f2d88190b31e8c336f1a1bf3 completed March 14, 2026, 2:11 a.m.
Created at: March 8, 2026, 3:26 p.m.