Triple

T8994482
Position Surface form Disambiguated ID Type / Status
Subject My Only Fascination E214868 entity
Predicate hasTrack P3284 FINISHED
Object Smile E578843 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: Smile | Statement: [My Only Fascination, hasTrack, Smile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smile
Context triple: [My Only Fascination, hasTrack, Smile]
  • A. Smile
    "Smile" is a 2020 pop album by American singer Katy Perry that explores themes of resilience, self-acceptance, and personal growth.
  • B. Smile
    "Smile" is a popular country-pop song by American musician Uncle Kracker, known for its upbeat, feel-good lyrics and radio-friendly melody.
  • C. Smile chosen
    "Smile" is a song featured on the album *The Art of Elegance*, known for its smooth, classic vocal style and refined, jazz-influenced arrangement.
  • D. Smile
    "Smile" is a 2022 American psychological horror film about a therapist who begins experiencing terrifying, seemingly supernatural events after witnessing a patient’s bizarre suicide.
  • E. Smile
    "Smile" is a 1975 satirical comedy film that skewers the absurdities of American beauty pageants and small-town ambition.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68ddff288190869731df2c178ff6 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0d0e6a08190a2faf4157b8a9cd4 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.