Triple

T1108639
Position Surface form Disambiguated ID Type / Status
Subject Barbie (2023 film) E25542 entity
Predicate starring P1507 FINISHED
Object Michael Cera E92625 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: Michael Cera | Statement: [Barbie (2023 film), starring, Michael Cera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Cera
Context triple: [Barbie (2023 film), starring, Michael Cera]
  • A. Michael Cera chosen
    Michael Cera is a Canadian actor known for his awkwardly endearing comedic roles in film and television, including prominent parts in projects like "Superbad," "Juno," and "Scott Pilgrim vs. the World."
  • B. Matthew Macfadyen
    Matthew Macfadyen is an English actor known for his versatile performances in film and television, including prominent roles in "Pride & Prejudice," "Succession," and various British dramas.
  • C. Rob McElhenney
    Rob McElhenney is an American actor, writer, and producer best known for co-creating and starring as Mac on the long-running sitcom "It's Always Sunny in Philadelphia."
  • D. Emile Hirsch
    Emile Hirsch is an American actor known for his intense performances in films such as "Into the Wild," "Milk," and "Lone Survivor."
  • E. Paul Dano
    Paul Dano is an American actor and filmmaker known for his intense, often offbeat performances in films such as "There Will Be Blood," "Little Miss Sunshine," and "Prisoners."
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e6134481909f348986a25f65c6 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59a221888190a3ffdb713e7cd143 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:43 p.m.