Triple

T8869161
Position Surface form Disambiguated ID Type / Status
Subject Mickey Moran E211101 entity
Predicate coStarsWith P14987 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: [Mickey Moran, coStarsWith, Judy Garland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judy Garland
Context triple: [Mickey Moran, coStarsWith, 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. Lily Garland
    Lily Garland is a temperamental and glamorous Broadway star at the center of the screwball musical comedy "On the Twentieth Century."
  • C. Shirley Temple
    Shirley Temple was a hugely popular American child actress, singer, and dancer of the 1930s who later became a diplomat.
  • D. Deanna Durbin
    Deanna Durbin was a Canadian-born American actress and singer who became one of Hollywood’s most popular musical film stars of the 1930s and 1940s, known for her clear soprano voice and girl-next-door charm.
  • E. 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."
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61257a548190955ad71f4c8704d5 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa05742948190bcec72a080f6837a completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:51 p.m.