Triple

T16779313
Position Surface form Disambiguated ID Type / Status
Subject Christine "Lady Bird" McPherson E407815 entity
Predicate portrayedBy P1507 FINISHED
Object Saoirse Ronan E240277 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: Saoirse Ronan | Statement: [Christine "Lady Bird" McPherson, portrayedBy, Saoirse Ronan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saoirse Ronan
Context triple: [Christine "Lady Bird" McPherson, portrayedBy, Saoirse Ronan]
  • A. Saoirse Ronan chosen
    Saoirse Ronan is an acclaimed Irish-American actress known for her nuanced performances in films such as "Atonement," "Brooklyn," "Lady Bird," and "Little Women."
  • B. Carey Mulligan
    Carey Mulligan is an acclaimed British actress known for her performances in films such as "An Education," "Drive," and "Promising Young Woman."
  • C. Rooney Mara
    Rooney Mara is an American actress known for her acclaimed performances in films such as "The Girl with the Dragon Tattoo" and "Carol."
  • D. Lucy Boynton
    Lucy Boynton is a British-American actress known for her roles in films such as "Bohemian Rhapsody" and "Sing Street," as well as various television dramas.
  • E. Maria Riva
    Maria Riva is a German-American actress and author best known as the daughter and biographer of film legend Marlene Dietrich.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21401b881909bbbc7382e851a90 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab00cf708190a2562fa14d72a4df completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.