Triple

T14275472
Position Surface form Disambiguated ID Type / Status
Subject Bruno Tonioli E353903 entity
Predicate hasWorkedWith P9615 FINISHED
Object Tom Bergeron E387346 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: Tom Bergeron | Statement: [Bruno Tonioli, hasWorkedWith, Tom Bergeron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Bergeron
Context triple: [Bruno Tonioli, hasWorkedWith, 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 is a fictional character appearing in the film "The Miracle Woman."
  • E. Philbin
    Philbin is a surname of Irish origin borne by various notable individuals in entertainment, sports, and other fields.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6582f5308190969f4cfd724d9139 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326d35808190bbf3f6bbc50554f4 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:10 a.m.