Triple

T22410245
Position Surface form Disambiguated ID Type / Status
Subject Dancing with the Stars (US) season 10 E553976 entity
Predicate presenter P83 FINISHED
Object Tom Bergeron 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: Tom Bergeron | Statement: [Dancing with the Stars (US) season 10, presenter, Tom Bergeron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Bergeron
Context triple: [Dancing with the Stars (US) season 10, presenter, Tom Bergeron]
  • A. Tom Bergeron chosen
    Tom Bergeron is an American television personality best known as the longtime host of shows like "America's Funniest Home Videos" and the U.S. version of "Dancing with the Stars."
  • B. Regis Philbin
    Regis Philbin was an American television personality and talk show host best known for his long-running morning shows and for hosting the game show "Who Wants to Be a Millionaire."
  • C. Dan Hartman
    Dan Hartman was an American musician, singer, songwriter, and producer best known for his disco and pop hits in the 1970s and 1980s.
  • D. John Carson
    John Carson was a British character actor known for his numerous roles in horror films and television dramas during the 1960s and 1970s.
  • E. John Carson
    John Carson is a fictional character appearing in the film "The Miracle Woman."
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158bb9ef88190a773d82ac9ed7a55 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.