Triple

T11855629
Position Surface form Disambiguated ID Type / Status
Subject Lib Wright E282030 entity
Predicate portrayedBy P1507 FINISHED
Object Florence Pugh E8606 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: Florence Pugh | Statement: [Lib Wright, portrayedBy, Florence Pugh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florence Pugh
Context triple: [Lib Wright, portrayedBy, Florence Pugh]
  • A. Florence Pugh chosen
    Florence Pugh is an English actress acclaimed for her emotionally intense and versatile performances in films such as "Lady Macbeth," "Midsommar," and "Little Women."
  • B. Daisy Edgar-Jones
    Daisy Edgar-Jones is a British actress best known for her breakout role in the television adaptation of Sally Rooney’s "Normal People."
  • C. 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.
  • D. Vanessa Kirby
    Vanessa Kirby is an English actress known for her acclaimed performances in both film and television, including her breakout role as Princess Margaret in the Netflix series "The Crown."
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a697f4108190af984932d2118472 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167d9b9e8819093582637941fc5ca completed April 29, 2026, 2:07 a.m.
Created at: April 8, 2026, 9:43 p.m.