Triple

T21561539
Position Surface form Disambiguated ID Type / Status
Subject Mother Machree E532046 entity
Predicate recordedBy P1165 FINISHED
Object John McCormack NE NERFINISHED

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: John McCormack | Statement: [Mother Machree, recordedBy, John McCormack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John McCormack
Context triple: [Mother Machree, recordedBy, John McCormack]
  • A. John McCormack chosen
    John McCormack was a celebrated Irish tenor of the early 20th century, renowned for his lyrical voice and popular recordings of Irish ballads and operatic arias.
  • B. John W. McCormack
    John W. McCormack was an American Democratic politician from Massachusetts who served as Speaker of the U.S. House of Representatives in the 1960s.
  • C. Jack Teagarden
    Jack Teagarden was an influential American jazz trombonist and singer renowned for his smooth tone, innovative technique, and collaborations with major jazz bandleaders of the swing era.
  • D. Tom Walls
    Tom Walls was a British actor, director, and producer best known for his work in early 20th-century stage farces and films.
  • E. Tom Walls
    Tom Walls is a film editor known for his work on the movie "Remember My Name."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e3e2348190b5c3b66cdc871e6e completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.