Triple

T18177546
Position Surface form Disambiguated ID Type / Status
Subject Can You Ever Forgive Me? E435201 entity
Predicate musicBy P1952 FINISHED
Object Nate Heller 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: Nate Heller | Statement: [Can You Ever Forgive Me?, musicBy, Nate Heller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nate Heller
Context triple: [Can You Ever Forgive Me?, musicBy, Nate Heller]
  • A. Nate Heller chosen
    Nate Heller is a film composer and songwriter known for his emotionally resonant scores for movies such as "A Beautiful Day in the Neighborhood" and "Can You Ever Forgive Me?".
  • B. Nate Nelson
    Nate Nelson was an American R&B singer best known as the lead vocalist of the doo-wop group The Flamingos, famed for their hit "I Only Have Eyes for You."
  • C. Nate Farley
    Nate Farley is an American guitarist best known for his work with the indie rock band Guided by Voices.
  • D. Nate Farley
    Nate Farley is an American rock guitarist best known for his work in the indie and alternative scenes, including his tenure with The Breeders.
  • E. Nate Morgan
    Nate Morgan is a musician best known as a member of the American funk band Rufus.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df5a72008190bd2e56205b995a87 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:31 a.m.