Triple

T4509877
Position Surface form Disambiguated ID Type / Status
Subject Mark Herron E102022 entity
Predicate spouse P13 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: [Mark Herron, spouse, Judy Garland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judy Garland
Context triple: [Mark Herron, spouse, 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. Mitzi Gaynor
    Mitzi Gaynor is an American actress, singer, and dancer best known for her starring role in the film musical "South Pacific" and her vibrant performances on stage and television.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd571138b88190b68bbfc4300aaf9d completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f814dd081908b07ce0c2abee3c1 completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:01 p.m.