Triple

T14233375
Position Surface form Disambiguated ID Type / Status
Subject Piglet E352810 entity
Predicate voicedBy P2181 FINISHED
Object John Fiedler E994662 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: John Fiedler | Statement: [Piglet, voicedBy, John Fiedler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Fiedler
Context triple: [Piglet, voicedBy, John Fiedler]
  • A. John Fiedler chosen
    John Fiedler was an American character actor known for his distinctive high-pitched voice and roles in films, television, and as the voice of Piglet in Disney’s Winnie the Pooh adaptations.
  • B. Leonard Schrader
    Leonard Schrader was an American screenwriter and director known for his collaborations with his brother Paul Schrader and for writing acclaimed films such as "Kiss of the Spider Woman."
  • C. Don P. Francis
    Don P. Francis is an American epidemiologist and public health official known for his pioneering work on HIV/AIDS research and prevention at the Centers for Disease Control and Prevention.
  • D. Milton Berlinger
    Milton Berlinger, better known by his stage name Milton Berle, was a pioneering American comedian and actor who became one of television’s first major stars.
  • E. Kevin Kiner
    Kevin Kiner is an American composer best known for his prolific work on film and television scores, including major franchises like Star Wars and DC Comics adaptations.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622cdd6481908befa179a9675bb5 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3251ec5881909fcebc9477d6a761 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:07 a.m.