Triple

T22764407
Position Surface form Disambiguated ID Type / Status
Subject Chelsea Lately E563082 entity
Predicate presenter P83 FINISHED
Object Chelsea Handler 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: Chelsea Handler | Statement: [Chelsea Lately, presenter, Chelsea Handler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelsea Handler
Context triple: [Chelsea Lately, presenter, Chelsea Handler]
  • A. Chelsea Handler chosen
    Chelsea Handler is an American comedian, actress, author, and television host best known for her sharp, irreverent humor and her late-night talk show "Chelsea Lately."
  • B. Kathy Griffin
    Kathy Griffin is an American stand-up comedian and actress known for her sharp, often controversial humor and frequent television appearances.
  • C. Gina Kimmel
    Gina Kimmel is an American costume designer and television personality best known as the ex-wife of comedian and late-night talk show host Jimmy Kimmel.
  • D. Michelle Wolf
    Michelle Wolf is an American comedian, writer, and television host known for her sharp political satire and her headline-making performance at the 2018 White House Correspondents’ Dinner.
  • E. Sarah Silverman
    Sarah Silverman is an American stand-up comedian, actress, and writer known for her sharp, provocative humor and appearances in film and television.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7f56848190b5e90f9916a5b349 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.