Triple

T5417602
Position Surface form Disambiguated ID Type / Status
Subject The Boy in the Striped Pyjamas E121168 entity
Predicate filmLeadActor P5563 FINISHED
Object Vera Farmiga E201564 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: Vera Farmiga | Statement: [The Boy in the Striped Pyjamas, filmLeadActor, Vera Farmiga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vera Farmiga
Context triple: [The Boy in the Striped Pyjamas, filmLeadActor, Vera Farmiga]
  • A. Vera Farmiga chosen
    Vera Farmiga is an American actress known for her acclaimed performances in films such as "The Conjuring" series and "Up in the Air," as well as the TV series "Bates Motel."
  • B. Maria Bello
    Maria Bello is an American actress known for her versatile roles in film and television, including performances in projects like "A History of Violence," "ER," and "NCIS."
  • C. Maura West
    Maura West is an American actress best known for her long-running, Emmy-winning work in daytime soap operas.
  • D. Jeanne Tripplehorn
    Jeanne Tripplehorn is an American actress known for her film debut in the thriller "Basic Instinct" and prominent roles in movies like "The Firm" and the TV series "Big Love."
  • E. Linda Cardellini
    Linda Cardellini is an American actress known for her versatile roles in film and television, including prominent performances in "Freaks and Geeks," "ER," "Bloodline," and as Laura Barton in the Marvel Cinematic Universe.
  • 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87e620f081909eb9a5e1f284e5a2 completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3aadfa4c81908b57af80f534b121 completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:05 p.m.