Triple

T20624116
Position Surface form Disambiguated ID Type / Status
Subject Eat to the Beat E506772 entity
Predicate hasTrack P3284 FINISHED
Object Die Young Stay Pretty 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: Die Young Stay Pretty | Statement: [Eat to the Beat, hasTrack, Die Young Stay Pretty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Die Young Stay Pretty
Context triple: [Eat to the Beat, hasTrack, Die Young Stay Pretty]
  • A. Die Young Stay Pretty chosen
    "Die Young Stay Pretty" is a song by the American new wave band Blondie, featured on their 1979 album *Eat to the Beat*.
  • B. We’re Young and Beautiful
    "We’re Young and Beautiful" is a country-pop song by American singer Carrie Underwood from her debut studio album "Some Hearts."
  • C. Keep Young and Beautiful
    "Keep Young and Beautiful" is a popular 1930s American song, best known from the film "42nd Street," with lyrics by Al Dubin and music by Harry Warren.
  • D. Sit Still, Look Pretty
    "Sit Still, Look Pretty" is a pop song by American singer Daya that became one of her breakout hits, known for its catchy melody and empowering, independent message.
  • E. Rich, Young and Pretty
    Rich, Young and Pretty is a 1951 American musical film featuring Jane Powell in a romantic, song-filled story set against a glamorous backdrop.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe3d76c8190a8a5cb52bb9bfc2b completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.