Triple

T5656300
Position Surface form Disambiguated ID Type / Status
Subject Come Fly with Me E124626 entity
Predicate hasTrack P3284 FINISHED
Object Come Fly with Me (song) E124626 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 Fly with Me (song) | Statement: [Come Fly with Me, hasTrack, Come Fly with Me (song)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Come Fly with Me (song)
Context triple: [Come Fly with Me, hasTrack, Come Fly with Me (song)]
  • A. Come Fly with Me chosen
    Come Fly with Me is a classic 1958 vocal jazz and traditional pop album by Frank Sinatra, themed around travel and widely regarded as one of his signature works.
  • B. Flying High
    "Flying High" is a 1931 American musical comedy film featuring vaudeville-style humor and early Hollywood song-and-dance numbers.
  • C. I'll Fly for You
    "I'll Fly for You" is a 1984 pop ballad by British new wave band Spandau Ballet, known for its smooth, romantic style and soulful saxophone melody.
  • D. Fly with Me
    "Fly with Me" is a pop rock song by the Jonas Brothers, known for its melodic hooks and emotional lyrics, featured on their 2009 album "Lines, Vines and Trying Times."
  • E. Go Fly
    Go Fly was a British low-cost airline launched in the late 1990s that operated short-haul European routes before being absorbed into easyJet.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022fb0b74819084782411bd172834 completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d9ec1248190aff680acb4064a49 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:42 p.m.