Triple

T20996970
Position Surface form Disambiguated ID Type / Status
Subject Fanny and Alexander E517173 entity
Predicate originalNetwork P2594 FINISHED
Object SVT 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: SVT | Statement: [Fanny and Alexander, originalNetwork, SVT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SVT
Context triple: [Fanny and Alexander, originalNetwork, SVT]
  • A. SVT
    SVT (Special Vehicle Team) is Ford Motor Company's high-performance division responsible for developing enhanced, limited-production models like the Cobra R.
  • B. SVT chosen
    SVT is Sweden's national public television broadcaster, known for providing news, entertainment, and cultural programming.
  • C. SVT
    SVT was a late-1970s American rock band known for blending punk and new wave influences, featuring Jefferson Airplane/Hot Tuna bassist Jack Casady.
  • D. SVT1
    SVT1 is a major Swedish public television channel known for news, current affairs, and a broad range of general-interest programming.
  • E. SVT2
    SVT2 is a Swedish public television channel known for its focus on culture, current affairs, and minority-language programming.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc21838081909872eed21bc12a08 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:51 p.m.