Triple

T20236829
Position Surface form Disambiguated ID Type / Status
Subject Jill Arlyn Oppenheim E498170 entity
Predicate notableWork P4 FINISHED
Object Come Blow Your Horn E242034 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: Come Blow Your Horn | Statement: [Jill Arlyn Oppenheim, notableWork, Come Blow Your Horn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Come Blow Your Horn
Context triple: [Jill Arlyn Oppenheim, notableWork, Come Blow Your Horn]
  • A. Come Blow Your Horn chosen
    Come Blow Your Horn is a 1963 American comedy film adaptation of Neil Simon’s play, starring Frank Sinatra and directed by Bud Yorkin.
  • B. Honk Your Horn
    "Honk Your Horn" is an R&B song by American singer Dani Stevenson that gained attention in the early 2000s.
  • C. Let There Be Horns
    "Let There Be Horns" is a track by American producer RJD2, known for its sample-based, instrumental hip hop style and cinematic, horn-driven sound.
  • D. Young Man with a Horn
    Young Man with a Horn is a 1950 film noir–style musical drama about a troubled jazz trumpeter, loosely based on the life of cornetist Bix Beiderbecke.
  • E. The Man with the Horn
    "The Man with the Horn" is a 1985 pop-rock song by Phil Collins, known as a non-album track that appeared as a B-side and later on his compilation releases.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716a5af0819095ea419a4d1f0d1d completed April 20, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08551ff05c819092494bbba7fc6f82 completed May 16, 2026, 11:29 a.m.
Created at: April 11, 2026, 11:40 p.m.