Triple

T1147795
Position Surface form Disambiguated ID Type / Status
Subject For Me and My Gal E23605 entity
Predicate hasJudyGarlandRole P1668 FINISHED
Object Jo Hayden E148115 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: Jo Hayden | Statement: [For Me and My Gal, hasJudyGarlandRole, Jo Hayden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jo Hayden
Context triple: [For Me and My Gal, hasJudyGarlandRole, Jo Hayden]
  • A. Jo Hayden chosen
    Jo Hayden is the ambitious young vaudeville singer portrayed by Judy Garland in the 1942 musical film "For Me and My Gal."
  • B. Jody Hamilton
    Jody Hamilton is the daughter of comedian and actress Carol Burnett, known primarily for her connection to her mother's legacy in American entertainment.
  • C. Pat Hughes
    Pat Hughes is a longtime American sportscaster best known as the radio play-by-play voice of Major League Baseball’s Chicago Cubs.
  • D. Ian Hendrickson-Smith
    Ian Hendrickson-Smith is an American jazz saxophonist and flutist known for his work as a versatile session musician and performer with various prominent bands and artists.
  • E. Dana DeMuth
    Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc7041248190893e4c655dbd0604 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf13304881908aa74d92ef7b1c86 completed March 8, 2026, 12:13 a.m.
Created at: March 1, 2026, 7:44 p.m.