Triple

T15034989
Position Surface form Disambiguated ID Type / Status
Subject John Hunter Blair E378455 entity
Predicate notableWork P4 FINISHED
Object Blue Peter E77617 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: Blue Peter | Statement: [John Hunter Blair, notableWork, Blue Peter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Peter
Context triple: [John Hunter Blair, notableWork, Blue Peter]
  • A. Blue Peter chosen
    Blue Peter is a long-running British children's television programme known for its educational content, creative activities, and iconic badge awards.
  • B. The Young Ones
    The Young Ones is a 1961 British musical film starring Cliff Richard as a youth club leader who stages a show to save his club from demolition.
  • C. The Young Ones
    The Young Ones is a cult British sitcom from the early 1980s that follows four anarchic students sharing a squalid house, known for its surreal humor, slapstick violence, and punk-influenced style.
  • D. CITV
    CITV is a British children's television channel and programming block operated by ITV, featuring a wide range of kids' shows and animated series.
  • E. CBBC
    CBBC is the BBC’s dedicated television channel for children, offering a wide range of entertainment, educational, and drama programming primarily aimed at viewers aged 6 to 12.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82b29948190acda49cbec3f927a completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dddd0208190b2dac7a078de2931 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:59 a.m.