Triple

T10808496
Position Surface form Disambiguated ID Type / Status
Subject Princess Ann E255028 entity
Predicate portrayalReceivedBy P33120 FINISHED
Object Audrey Hepburn E30448 NE FINISHED

How this triple was built (3 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: Audrey Hepburn | Statement: [Princess Ann, portrayalReceivedBy, Audrey Hepburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Audrey Hepburn
Context triple: [Princess Ann, portrayalReceivedBy, Audrey Hepburn]
  • A. Audrey Hepburn chosen
    Audrey Hepburn was an iconic British actress and humanitarian, celebrated for her timeless style and roles in classic films such as "Breakfast at Tiffany's."
  • B. Deborah Kerr
    Deborah Kerr was a renowned Scottish actress celebrated for her elegant and versatile performances in classic films such as "The King and I," "From Here to Eternity," and "An Affair to Remember."
  • C. Lesley Caron
    Lesley Caron is a British theatre director known for her work on stage productions and for being married to fellow director Peter Hall.
  • D. Ingrid Bergman
    Ingrid Bergman was an acclaimed Swedish actress and three-time Academy Award winner best known for her luminous performances in classic films such as "Casablanca" and "Notorious."
  • E. Katharine Hepburn
    Katharine Hepburn was an iconic American actress renowned for her fiercely independent screen persona, sharp wit, and a record four Academy Awards for Best Actress during Hollywood’s Golden Age.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: portrayalReceivedBy
Context triple: [Princess Ann, portrayalReceivedBy, Audrey Hepburn]
  • A. portrayalReceived chosen
    Indicates that an entity has been depicted or represented by another entity, such as through an image, performance, or description.
  • B. portrayalReception
    Indicates how a particular portrayal of someone or something is received, evaluated, or responded to by an audience or observers.
  • C. portrayalRecognition
    Indicates that one entity recognizes or identifies another entity as a portrayal or representation of a particular subject or character.
  • D. portrayalLedTo
    Indicates that one entity’s portrayal of another caused or significantly contributed to a subsequent outcome, reaction, or state involving that other entity.
  • E. portrayalIntroduced
    Indicates that one entity is introduced or presented as a portrayal or depiction of another entity.
  • F. None of above.

Provenance (4 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b60c6481909b043565a65f996d completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15499158481908391f411420b19fc completed April 16, 2026, 9:28 p.m.
PD Predicate disambiguation batch_69d6f3188f00819094ee8d65b187a333 completed April 9, 2026, 12:30 a.m.
Created at: April 8, 2026, 9:18 p.m.