Triple

T2269685
Position Surface form Disambiguated ID Type / Status
Subject George Cukor E50626 entity
Predicate collaboratedWith P435 FINISHED
Object Judy Garland E3121 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: Judy Garland | Statement: [George Cukor, collaboratedWith, Judy Garland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judy Garland
Context triple: [George Cukor, collaboratedWith, 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.

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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1bd376c8190a43decde599f62e6 completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d97a108190a26ffd20fac91a7e completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.