Triple

T14703117
Position Surface form Disambiguated ID Type / Status
Subject Fix-It Felix Jr. E345357 entity
Predicate voicedBy P2181 FINISHED
Object Jack McBrayer E235643 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: Jack McBrayer | Statement: [Fix-It Felix Jr., voicedBy, Jack McBrayer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack McBrayer
Context triple: [Fix-It Felix Jr., voicedBy, Jack McBrayer]
  • A. Jack McBrayer chosen
    Jack McBrayer is an American actor and comedian best known for his Emmy-nominated role as the cheerful NBC page Kenneth Parcell on the television series "30 Rock."
  • B. John Brydon
    John Brydon was a British architect of the late 19th and early 20th centuries, known for designing prominent public buildings in London.
  • C. Rob Corddry
    Rob Corddry is an American actor and comedian best known for his work on "The Daily Show" and in films like "Hot Tub Time Machine."
  • D. Nate Corddry
    Nate Corddry is an American actor and comedian known for his television work, including prominent roles in series such as "Studio 60 on the Sunset Strip" and "Mom."
  • E. Michael Urie
    Michael Urie is an American actor best known for his role as Marc St. James on the television series "Ugly Betty" and for his extensive work in theater and film.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb6071e5c8190bb5509c859135c2d completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8221a4819098937018f24a0b44 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:28 a.m.