Triple

T21524307
Position Surface form Disambiguated ID Type / Status
Subject The Secret Lives of Dentists E531054 entity
Predicate characterName P36851 FINISHED
Object Dana Hurst 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: Dana Hurst | Statement: [The Secret Lives of Dentists, characterName, Dana Hurst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dana Hurst
Context triple: [The Secret Lives of Dentists, characterName, Dana Hurst]
  • A. Lee Hurst
    Lee Hurst is a British comedian and television personality best known for his appearances on the sports quiz show "They Think It’s All Over."
  • B. Michelle Hurst chosen
    Michelle Hurst is an American actress best known for her role as Miss Claudette Pelage on the Netflix series "Orange Is the New Black."
  • C. Dana DeMuth
    Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
  • D. Dana Lyon
    Dana Lyon was a writer whose work served as the basis for the film "The House on Telegraph Hill."
  • E. Dana James Hutton
    Dana James Hutton, better known as Jim Hutton, was an American actor recognized for his tall, lanky frame and comedic roles in 1960s films and for playing the title detective in the TV series "Ellery Queen."
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee884f4504819086bd632e62f02f58 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.