Triple

T22427376
Position Surface form Disambiguated ID Type / Status
Subject Room E554407 entity
Predicate director P255 FINISHED
Object Lenny Abrahamson 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: Lenny Abrahamson | Statement: [Room, director, Lenny Abrahamson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenny Abrahamson
Context triple: [Room, director, Lenny Abrahamson]
  • A. Lenny Abrahamson chosen
    Lenny Abrahamson is an Irish film and television director best known for acclaimed works such as "Room," "Frank," and the series "Normal People."
  • B. Martin Arjovsky
    Martin Arjovsky is a machine learning researcher best known for introducing the Wasserstein GAN, a generative adversarial network variant that improves training stability and sample quality.
  • C. Michael Almereyda
    Michael Almereyda is an American filmmaker and screenwriter known for his inventive, often experimental adaptations of classic literature and genre stories.
  • D. James Ponsoldt
    James Ponsoldt is an American film director, screenwriter, and producer known for character-driven dramas such as "The Spectacular Now" and "The End of the Tour."
  • E. Sean Durkin
    Sean Durkin is a British-Canadian filmmaker best known for writing and directing the psychological drama "Martha Marcy May Marlene" and for his work on character-driven, atmospheric films 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2e438481908d43026727afa709 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.