Triple

T14586130
Position Surface form Disambiguated ID Type / Status
Subject Bret Iwan E342319 entity
Predicate succeeded P78 FINISHED
Object Wayne Allwine E339936 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: Wayne Allwine | Statement: [Bret Iwan, succeeded, Wayne Allwine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayne Allwine
Context triple: [Bret Iwan, succeeded, Wayne Allwine]
  • A. Wayne Allwine chosen
    Wayne Allwine was an American voice actor best known for portraying Mickey Mouse for over three decades.
  • B. Greg Medavoy
    Greg Medavoy is a mild-mannered, often self-doubting detective whose personal growth and quiet competence provide both comic relief and emotional depth throughout the TV series "NYPD Blue."
  • C. Mark Lonow
    Mark Lonow is an American actor and comedian known for his work in film, television, and stand-up, as well as for co-owning the iconic Los Angeles comedy club The Improv.
  • D. Frank Whaley
    Frank Whaley is an American actor, director, and screenwriter known for his roles in films such as "Pulp Fiction," "Swimming with Sharks," and numerous independent movies.
  • E. Tom Leppert
    Tom Leppert is an American businessman and politician who served as the mayor of Dallas, Texas, and later ran for the U.S. Senate.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb421bb308190a457425429ef6aa5 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94bef27481908c108110dbf21780 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.