Triple

T22899559
Position Surface form Disambiguated ID Type / Status
Subject The Giver (2014 film) E568271 entity
Predicate starring P1507 FINISHED
Object Katie Holmes 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: Katie Holmes | Statement: [The Giver (2014 film), starring, Katie Holmes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katie Holmes
Context triple: [The Giver (2014 film), starring, Katie Holmes]
  • A. Katie Holmes chosen
    Katie Holmes is an American actress best known for her role as Joey Potter on the television series "Dawson's Creek" and for her work in film and theater.
  • B. Katherine Heigl
    Katherine Heigl is an American actress and former fashion model best known for her roles in the television series "Grey's Anatomy" and various romantic comedy films.
  • C. Kate Hudson
    Kate Hudson is an American actress known for her roles in romantic comedies and dramas, including her performance in the 2010 crime film "The Killer Inside Me."
  • D. Blake Lively
    Blake Lively is an American actress best known for her role as Serena van der Woodsen on the television series "Gossip Girl" and for starring in films such as "The Age of Adaline" and "A Simple Favor."
  • E. Lauren Beal
    Lauren Beal is an artist known for contributing creative work to the project or publication titled "Layers."
  • 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180155b1c8190a83eb6ec45387a1a completed April 29, 2026, 3:50 a.m.
Created at: April 17, 2026, 3:41 p.m.