Triple

T21994203
Position Surface form Disambiguated ID Type / Status
Subject Tell Me a Story E543161 entity
Predicate composer P1361 FINISHED
Object John Frizzell 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 Frizzell | Statement: [Tell Me a Story, composer, John Frizzell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Frizzell
Context triple: [Tell Me a Story, composer, John Frizzell]
  • A. John Frizzell chosen
    John Frizzell is an American film and television composer known for scoring a wide range of genre films, including prominent horror and thriller titles.
  • B. Jimmy Frizzell
    Jimmy Frizzell was a Scottish football manager and former player best known for his long and influential spell in charge of Oldham Athletic during the 1970s and early 1980s.
  • C. Lou Frizzell
    Lou Frizzell was an American character actor and voice actor known for his supporting roles in film and television during the mid-20th century.
  • D. David Frizzell
    David Frizzell is an American country music singer and songwriter best known for his 1980s hits and successful duets, particularly with Shelly West.
  • E. Lefty Frizzell
    Lefty Frizzell was a pioneering American country music singer-songwriter whose smooth, drawling vocal style and honky-tonk hits profoundly shaped the sound of modern country and influenced generations of artists.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127639bf48190800b3fa3c1527983 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:17 p.m.