Triple

T13780075
Position Surface form Disambiguated ID Type / Status
Subject Chelsea Lately E331109 entity
Predicate starring P1507 FINISHED
Object Chelsea Handler E563082 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: Chelsea Handler | Statement: [Chelsea Lately, starring, Chelsea Handler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelsea Handler
Context triple: [Chelsea Lately, starring, 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. 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.
  • D. Natasha Leggero
    Natasha Leggero is an American comedian, actress, and writer known for her sharp, satirical stand-up and numerous television and film comedy roles.
  • E. Amy Schumer
    Amy Schumer is an American stand-up comedian, actress, and writer known for her sharp, self-deprecating humor and work on projects like "Inside Amy Schumer" and "Trainwreck."
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02460a688190a27874f8d35819c7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8d4af2081909628c1691e073f6f completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:11 p.m.