Triple

T23404763
Position Surface form Disambiguated ID Type / Status
Subject Are You There, Chelsea? E559603 entity
Predicate starring P1507 FINISHED
Object Ali Wong 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: Ali Wong | Statement: [Are You There, Chelsea?, starring, Ali Wong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali Wong
Context triple: [Are You There, Chelsea?, starring, Ali Wong]
  • A. Ali Wong chosen
    Ali Wong is an American stand-up comedian, actress, and writer known for her Netflix specials like "Baby Cobra" and her roles in film and television.
  • B. Tiffany Haddish
    Tiffany Haddish is an American stand-up comedian and actress known for her breakout role in "Girls Trip" and her energetic, unfiltered comedic style.
  • C. Phoebe Robinson
    Phoebe Robinson is an American comedian, writer, and actress best known as the co-creator of the podcast and HBO series "2 Dope Queens" and for her sharp, socially conscious stand-up.
  • D. Amber Ruffin
    Amber Ruffin is an American comedian, writer, and television host best known for her work on "Late Night with Seth Meyers" and for creating and starring in "The Amber Ruffin Show."
  • E. 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.
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4e27db88190b37375b38073291c completed April 29, 2026, 6:27 a.m.
Created at: April 17, 2026, 5:38 p.m.