Triple

T19520951
Position Surface form Disambiguated ID Type / Status
Subject The Wild Thornberrys Movie E488398 entity
Predicate productionCompany P490 FINISHED
Object Klasky Csupo 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: Klasky Csupo | Statement: [The Wild Thornberrys Movie, productionCompany, Klasky Csupo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klasky Csupo
Context triple: [The Wild Thornberrys Movie, productionCompany, Klasky Csupo]
  • A. Klasky Csupo chosen
    Klasky Csupo is an American animation studio best known for creating and producing distinctive, offbeat animated television series such as Rugrats and The Wild Thornberrys.
  • B. John Kosco
    John Kosco is a musician best known as the former lead vocalist of the rock band Dropbox.
  • C. Kupferhammer
    Kupferhammer is a locality within the town of Eberswalde in the state of Brandenburg, Germany.
  • D. Mario Schlosser
    Mario Schlosser is a German-born entrepreneur best known as the co-founder and former CEO of the technology-driven health insurance company Oscar Health.
  • E. Tony Kubek
    Tony Kubek is a former Major League Baseball shortstop and longtime television broadcaster best known for his work as a color commentator on national baseball telecasts.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635a0b37c8190b70b7427c2e85f59 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.