Triple

T23308744
Position Surface form Disambiguated ID Type / Status
Subject Lucky Day E590523 entity
Predicate hasTrack P3284 FINISHED
Object Hey Sexy Lady 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: Hey Sexy Lady | Statement: [Lucky Day, hasTrack, Hey Sexy Lady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hey Sexy Lady
Context triple: [Lucky Day, hasTrack, Hey Sexy Lady]
  • A. Hey Sexy Lady chosen
    "Hey Sexy Lady" is a popular dancehall-reggae fusion single by Jamaican artist Shaggy, known for its catchy hook and club-oriented production.
  • B. Sophisticated Lady
    "Sophisticated Lady" is a classic jazz standard composed by Duke Ellington, renowned for its lush harmonies and evocative, melancholic mood.
  • C. Be-Bop Baby
    "Be-Bop Baby" is a rock and roll song popularized by American singer Ricky Nelson in the late 1950s.
  • D. Blueberry Hill
    "Blueberry Hill" is a classic 1956 rock and roll song popularized by Fats Domino, renowned for its smooth piano melody and enduring influence on early rock music.
  • E. Her Strut
    "Her Strut" is a rock song by Bob Seger, known for its driving rhythm and commentary on the perception of confident women.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197292fd08190bc364e1433dde213 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:05 p.m.