Triple

T984652
Position Surface form Disambiguated ID Type / Status
Subject Get Happy E21251 entity
Predicate filmPerformanceBy P6103 FINISHED
Object Judy Garland E3121 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: Judy Garland | Statement: [Get Happy, filmPerformanceBy, Judy Garland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judy Garland
Context triple: [Get Happy, filmPerformanceBy, Judy Garland]
  • A. Judy Garland chosen
    Judy Garland was an iconic American actress and singer best known for her role as Dorothy in "The Wizard of Oz" and her powerful, emotionally expressive performances on stage and screen.
  • B. Shirley Temple
    Shirley Temple was a hugely popular American child actress, singer, and dancer of the 1930s who later became a diplomat.
  • C. Loretta Young
    Loretta Young was an American film and television actress known for her elegance, prolific career in Hollywood’s Golden Age, and Academy Award–winning performance in "The Farmer’s Daughter."
  • D. Dorothy Lamour
    Dorothy Lamour was an American actress and singer best known for her roles in the "Road to..." comedy films alongside Bing Crosby and Bob Hope.
  • E. Debbie Reynolds
    Debbie Reynolds was an American actress, singer, and dancer best known for her roles in classic Hollywood musicals such as "Singin' in the Rain."
  • 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: filmPerformanceBy
Context triple: [Get Happy, filmPerformanceBy, Judy Garland]
  • A. featuresPerformanceBy chosen
    Indicates a relationship where something (such as an event, work, or production) includes or showcases a performance given by a particular performer or group.
  • B. filmMovement
    Indicates the cinematic movement or stylistic school with which a film is associated.
  • C. servedInTheatres
    Indicates that a film or performance was publicly exhibited in movie theaters or similar cinema venues.
  • D. mediaSignal
    Indicates that one entity serves as a medium or channel through which a signal, message, or information is transmitted from a source to a receiver.
  • E. producedFilm
    Indicates that one entity served as the producer (or production company) responsible for making or financing the creation of a particular film.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4959fe48190a78bd811cbc888ab completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc605c85881909adc6091bb9d9f8c completed March 8, 2026, 12:42 a.m.
PD Predicate disambiguation batch_69a4b2aa219081908a6b0ef786b4aa52 completed March 1, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:41 p.m.