Triple

T14300657
Position Surface form Disambiguated ID Type / Status
Subject Peter Purves E354552 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: [Peter Purves, notableWork, Blue Peter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Peter
Context triple: [Peter Purves, 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. 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.
  • D. 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.
  • E. Beany and Cecil
    Beany and Cecil is an American animated television series created by Bob Clampett, featuring the adventures of a boy named Beany and his seasick sea serpent friend Cecil.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717e246c819083e67ac2b3b77881 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2697648190beade47df424a9e5 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.