Triple

T20869547
Position Surface form Disambiguated ID Type / Status
Subject ÷ (album) E513853 entity
Predicate containsTrack P3284 FINISHED
Object Perfect 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: Perfect | Statement: [÷ (album), containsTrack, Perfect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perfect
Context triple: [÷ (album), containsTrack, Perfect]
  • A. Perfect
    "Perfect" is a song featured on Snoop Dogg's album *R&G (Rhythm & Gangsta): The Masterpiece*, showcasing his smooth West Coast hip-hop style.
  • B. Perfect
    "Perfect" is a melodic alternative rock song by The Smashing Pumpkins, known for its lush production and introspective lyrics that echo the style of their earlier hit "1979."
  • C. Perfect
    Perfect is a 1985 romantic drama film starring John Travolta and Jamie Lee Curtis, centered on a journalist investigating the fitness club scene of the 1980s.
  • D. Perfect
    "Perfect" is a popular emotional rock ballad by the Canadian band Simple Plan that reflects on parental expectations and personal regret.
  • E. Perfect chosen
    "Perfect" is a song from the album *No Pressure*, showcasing Logic's introspective lyrics and polished production.
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c4637ec48190830023d20fb8124c completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.