Triple

T14363188
Position Surface form Disambiguated ID Type / Status
Subject Booksmart E356154 entity
Predicate starredActor P5563 FINISHED
Object Beanie Feldstein E415675 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: Beanie Feldstein | Statement: [Booksmart, starredActor, Beanie Feldstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beanie Feldstein
Context triple: [Booksmart, starredActor, Beanie Feldstein]
  • A. Beanie Feldstein chosen
    Beanie Feldstein is an American actress known for her comedic and dramatic roles in films such as "Booksmart" and "Lady Bird," as well as on Broadway.
  • B. Radha Mitchell
    Radha Mitchell is an Australian actress known for her versatile performances in independent films and Hollywood productions, including notable roles in dramas, thrillers, and horror films.
  • C. Emily Patterson
    Emily Patterson is the daughter of American actress Téa Leoni.
  • D. Mamoudou Athie
    Mamoudou Athie is a Mauritanian-American actor known for his roles in films like "The Front Runner" and "Unicorn Store" and the TV series "Sorry for Your Loss" and "Archive 81."
  • E. Cristin Milioti
    Cristin Milioti is an American actress and singer known for her work in film, television, and theater, including roles in "How I Met Your Mother," "The Wolf of Wall Street," and "Palm Springs."
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fabec088190bd8128371b29e958 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd550ca6b88190b76cd486bdd66fdf completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:15 a.m.