Triple

T6954345
Position Surface form Disambiguated ID Type / Status
Subject Before I Fall E161204 entity
Predicate director P255 FINISHED
Object Ry Russo-Young E546709 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: Ry Russo-Young | Statement: [Before I Fall, director, Ry Russo-Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ry Russo-Young
Context triple: [Before I Fall, director, Ry Russo-Young]
  • A. Ry Russo-Young chosen
    Ry Russo-Young is an American filmmaker and occasional actress known for her work in independent cinema, including directing films such as "Nobody Walks" and "Before I Fall."
  • B. Leslye Headland
    Leslye Headland is an American playwright, screenwriter, and director best known for co-creating the Netflix series "Russian Doll" and for her sharp, darkly comedic storytelling.
  • C. Molly Gordon
    Molly Gordon is an American actress and director known for her roles in films like "Booksmart" and "Good Boys" and the TV series "The Bear."
  • D. Sasha Lane
    Sasha Lane is an American actress best known for her breakout role in the film "American Honey" and subsequent performances in independent and mainstream movies.
  • E. Alexandra Shipp
    Alexandra Shipp is an American actress and singer best known for roles in films such as "X-Men: Apocalypse," "Love, Simon," and the musical drama "Tick, Tick... Boom!".
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dace1a94819095311e4288f01784 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75883f6888190a75515be49e7879e completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.