Triple

T17587133
Position Surface form Disambiguated ID Type / Status
Subject Main Course E428350 entity
Predicate includesSong P7178 FINISHED
Object Wind of Change 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: Wind of Change | Statement: [Main Course, includesSong, Wind of Change]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wind of Change
Context triple: [Main Course, includesSong, Wind of Change]
  • A. Wind of Change chosen
    "Wind of Change" is a song that appears as the B-side to the Bee Gees' 1975 single "Jive Talkin'."
  • B. Things Have Changed
    "Things Have Changed" is a Grammy- and Oscar-winning song by Bob Dylan, known for its darkly reflective lyrics and frequent inclusion in his live concert performances.
  • C. Looking for Changes
    "Looking for Changes" is a song by Paul McCartney from his 1993 album "Off the Ground," noted for its animal rights theme and rock-oriented sound.
  • D. Things Change
    Things Change is a 1988 American comedy-drama film directed by David Mamet about a mistaken-identity scheme involving a humble shoeshiner and the mob.
  • E. The World Changes
    The World Changes is a 1933 American drama film in which actor William Janney appears alongside a cast led by Paul Muni, depicting the rise of a lumber dynasty across generations.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e41bf08190963848f1597b6e9f completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.