Triple

T2658678
Position Surface form Disambiguated ID Type / Status
Subject Critters 3 E54673 entity
Predicate hasFranchise P13614 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 3, hasFranchise, Critters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Critters
Context triple: [Critters 3, hasFranchise, Critters]
  • A. Critter Country
    Critter Country is a themed land at Disneyland known for its rustic woodland setting and attractions featuring animal characters.
  • B. Critters franchise chosen
    The Critters franchise is a series of American horror-comedy films centered on small, carnivorous alien creatures that terrorize humans.
  • C. 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.
  • D. Chomps
    Chomps is a dog-themed mascot character for the NFL’s Cleveland Browns, typically depicted as a muscular, anthropomorphic brown dog in team gear.
  • E. Coelhos
    Coelhos is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd94dcaa48190aec625f68ce61a02 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa054d4d0819095084088fd54a63a completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:53 p.m.