Triple

T16193356
Position Surface form Disambiguated ID Type / Status
Subject 'Come and Get It' (1936 film) E392997 entity
Predicate portraysDualRoles P92133 FINISHED
Object Frances Farmer E78476 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: Frances Farmer | Statement: ['Come and Get It' (1936 film), portraysDualRoles, Frances Farmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frances Farmer
Context triple: ['Come and Get It' (1936 film), portraysDualRoles, Frances Farmer]
  • A. Frances Farmer chosen
    Frances Farmer was an American film and stage actress of the 1930s and 1940s whose turbulent life and struggles with mental illness later made her a symbol of Hollywood tragedy and institutional abuse.
  • B. Thelma Todd
    Thelma Todd was a popular American film actress and comedian of the late silent and early sound era, best known for her work in Hal Roach comedies and films with the Marx Brothers.
  • C. Anne Baxter
    Anne Baxter was an American actress known for her Academy Award–winning and nominated performances in classic films such as "The Razor's Edge," "All About Eve," and "The Ten Commandments."
  • D. Linda Darnell
    Linda Darnell was an American film actress of the 1940s and 1950s, known for her beauty and roles in Hollywood classics such as "Forever Amber" and "A Letter to Three Wives."
  • E. Madolyn Madden
    Madolyn Madden is a central character in the crime thriller film "The Departed," serving as a psychiatrist entangled in the lives of both a mole in the police and an undercover cop.
  • 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: portraysDualRoles
Context triple: ['Come and Get It' (1936 film), portraysDualRoles, Frances Farmer]
  • A. portraysPersonAs
    Indicates that one entity represents, depicts, or characterizes another person in a particular way or role.
  • B. portraysInWork chosen
    Indicates that one entity depicts, represents, or plays the role of another entity within a specific creative work.
  • C. depictsPersonRole
    Indicates that an image or representation shows a person in a specific role, function, or capacity.
  • D. portrayedVia
    Indicates that one entity is represented, depicted, or expressed through a particular medium, method, or channel.
  • E. portraysProfession
    Indicates that one entity depicts or represents another entity in a specific profession or occupational role.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d74d788190a637fdb9b4f184b9 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003c46bd2081908d6d9fd1898ea5f7 completed May 10, 2026, 8:05 a.m.
PD Predicate disambiguation batch_69e219e11f6081909106b1240a17fd37 completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:02 a.m.