Triple

T23295126
Position Surface form Disambiguated ID Type / Status
Subject Butterfly (song) E590147 entity
Predicate artist P184 FINISHED
Object Smile.dk 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: Smile.dk | Statement: [Butterfly (song), artist, Smile.dk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smile.dk
Context triple: [Butterfly (song), artist, Smile.dk]
  • A. Smile.dk chosen
    Smile.dk is a Swedish Eurodance duo best known internationally for their catchy, upbeat tracks featured in rhythm games like Dance Dance Revolution.
  • B. Smile (album by Smile.dk)
    Smile is the debut studio album by Swedish Eurodance duo Smile.dk, featuring their breakout hit "Butterfly" that gained international popularity through rhythm games like Dance Dance Revolution.
  • C. U Smile
    "U Smile" is a pop ballad by Justin Bieber from his debut studio album "My World 2.0," known for its romantic lyrics and piano-driven melody.
  • D. Smilez
    Smilez is a musical artist known for collaborating on the track "TattleTales."
  • E. Smile! (Ulybnis!)
    "Smile! (Ulybnis!)" is a popular song by Russian singer Vitas, known for its upbeat melody and his distinctive vocal style.
  • 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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196cdce7081908ca1cf9107b87f61 completed April 29, 2026, 5:27 a.m.
Created at: April 17, 2026, 5:03 p.m.