Triple

T18093045
Position Surface form Disambiguated ID Type / Status
Subject Bone Machine E433018 entity
Predicate hasTrack P3284 FINISHED
Object Whistle Down the Wind 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: Whistle Down the Wind | Statement: [Bone Machine, hasTrack, Whistle Down the Wind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whistle Down the Wind
Context triple: [Bone Machine, hasTrack, Whistle Down the Wind]
  • A. Whistle Down the Wind chosen
    Whistle Down the Wind is a musical by Andrew Lloyd Webber, based on the 1961 film and known for its blend of rock-influenced score and religious themes set in rural America.
  • B. Only the Wind
    "Only the Wind" is a song by Billy Dean from his 1991 country album "Billy Dean."
  • C. Hasten Down the Wind
    Hasten Down the Wind is a 1976 studio album by American singer Linda Ronstadt that showcases her blend of rock, country, and pop and earned her a Grammy Award.
  • D. Something in the Wind
    "Something in the Wind" is a 1947 American musical comedy film starring Deanna Durbin, known for its lighthearted romance, mistaken-identity plot, and lively musical numbers.
  • E. To the Wind
    "To the Wind" is a song by the metalcore band For the Fallen Dreams from their album "Changes."
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd1972a881908072990de0715547 completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.