Triple

T8801245
Position Surface form Disambiguated ID Type / Status
Subject Cate Blanchett as Meredith Logue E209411 entity
Predicate awardsContextOfWork P16522 FINISHED
Object The Talented Mr. Ripley received multiple Academy Award nominations E39805 NE FINISHED

How this triple was built (3 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: The Talented Mr. Ripley received multiple Academy Award nominations | Statement: [Cate Blanchett as Meredith Logue, awardsContextOfWork, The Talented Mr. Ripley received multiple Academy Award nominations]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Talented Mr. Ripley received multiple Academy Award nominations
Context triple: [Cate Blanchett as Meredith Logue, awardsContextOfWork, The Talented Mr. Ripley received multiple Academy Award nominations]
  • A. The Talented Mr. Ripley chosen
    The Talented Mr. Ripley is a 1999 psychological thriller film, based on Patricia Highsmith’s novel, about a young con artist who becomes dangerously obsessed with assuming another man's identity.
  • B. A Beautiful Mind (2001 film)
    A Beautiful Mind (2001 film) is an Academy Award–winning biographical drama about mathematician John Nash’s struggle with schizophrenia and his groundbreaking work in game theory.
  • C. The Departed
    The Departed is a 2006 crime thriller film directed by Martin Scorsese that follows an undercover cop and a mole in the police force as they infiltrate each other's organizations within the Boston Irish mob.
  • D. Catch Me If You Can
    Catch Me If You Can is a biographical crime film directed by Steven Spielberg that follows the real-life exploits of con artist Frank Abagnale Jr., portrayed by Leonardo DiCaprio.
  • E. Goodfellas
    Goodfellas is a 1990 American crime film directed by Martin Scorsese that chronicles the rise and fall of mob associate Henry Hill within the New York Mafia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: awardsContextOfWork
Context triple: [Cate Blanchett as Meredith Logue, awardsContextOfWork, The Talented Mr. Ripley received multiple Academy Award nominations]
  • A. awardReceivedByWork
    Indicates that a particular award was given in recognition of a specific work (such as a book, film, or artwork).
  • B. notableAwardWork
    Indicates that a work is the specific creation (e.g., book, film, artwork) for which an award or honor was given.
  • C. awardContext chosen
    Indicates the situational or circumstantial context in which an award is given or received.
  • D. recognizesWorkOf
    Indicates that one entity acknowledges, identifies, or gives credit to the work or contributions produced by another entity.
  • E. hasAwardedFieldOfWork
    Indicates that an entity has received an award specifically for work or contributions in a particular field or area of activity.
  • F. None of above.

Provenance (4 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fb9c5c88190881b069e1face10c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f6fdd688190bf40bbde0be991e1 completed April 3, 2026, 7:42 a.m.
PD Predicate disambiguation batch_69cc5c1f28ec8190a34311cb412920c2 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:44 p.m.