Triple

T12976742
Position Surface form Disambiguated ID Type / Status
Subject Fox Kids E321543 entity
Predicate succeededBy P78 FINISHED
Object Jetix E686842 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: Jetix | Statement: [Fox Kids, succeededBy, Jetix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jetix
Context triple: [Fox Kids, succeededBy, Jetix]
  • A. Jetix chosen
    Jetix was an international children's television brand known for its action-oriented animated and live-action programming, which later became part of Disney XD.
  • B. Animax
    Animax is an international Japanese anime television network known for broadcasting a wide range of anime series across multiple regions.
  • C. Super Channel
    Super Channel is a Canadian premium television network known for broadcasting a mix of original series, films, and international programming.
  • D. J&M Entertainment
    J&M Entertainment is a film production company best known for producing the 1993 drama "What's Eating Gilbert Grape."
  • E. Imagine Entertainment
    Imagine Entertainment is a prominent American film and television production company known for producing acclaimed movies and series across a wide range of genres.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e48c0208190bb7ec80780480b37 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f0315c8190aae5908ba65d5867 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:38 p.m.