Triple

T14829103
Position Surface form Disambiguated ID Type / Status
Subject Krystal Goderitch E348649 entity
Predicate network P2637 FINISHED
Object Space (TV channel) E344059 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: Space (TV channel) | Statement: [Krystal Goderitch, network, Space (TV channel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Space (TV channel)
Context triple: [Krystal Goderitch, network, Space (TV channel)]
  • A. Space (Canadian TV channel) chosen
    Space was a Canadian specialty television channel devoted primarily to science fiction, fantasy, and genre entertainment programming.
  • B. Star Channel
    Star Channel is a Greek free-to-air television network known for broadcasting popular entertainment programs, series, and reality shows.
  • C. Sky (satellite television)
    Sky (satellite television) is a major British pay-TV and broadcasting service offering a wide range of channels, on-demand content, and subscription packages via satellite.
  • D. Sky Channel
    Sky Channel was the original name of Sky One, a British satellite television channel known for airing a mix of entertainment, drama, and imported US programming.
  • E. Star TV
    Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0737d4c8190a49bf6b013da208c completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a16fd881909d246d8d1811a673 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:51 a.m.