Triple

T22797654
Position Surface form Disambiguated ID Type / Status
Subject Konnie Huq E564292 entity
Predicate notableWork P4 FINISHED
Object Blue Peter 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: Blue Peter | Statement: [Konnie Huq, notableWork, Blue Peter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Peter
Context triple: [Konnie Huq, 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 (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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cda76448190891c5190e1d75ae0 completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:30 p.m.