Triple

T17360959
Position Surface form Disambiguated ID Type / Status
Subject Moon Safari E422063 entity
Predicate notableTrack P8087 FINISHED
Object Sexy Boy 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: Sexy Boy | Statement: [Moon Safari, notableTrack, Sexy Boy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sexy Boy
Context triple: [Moon Safari, notableTrack, Sexy Boy]
  • A. Sexy Boy chosen
    "Sexy Boy" is a popular electronic pop song by the French duo Air, known for its dreamy synths and laid-back, atmospheric style.
  • B. Hot Boy
    "Hot Boy" is the clean, radio-friendly version of Bobby Shmurda's breakout 2014 hip-hop single "Hot N***a," which helped popularize the Shmoney Dance and brought him mainstream fame.
  • C. Busy Boy
    "Busy Boy" is a track from Chloe x Halle's acclaimed R&B album "Ungodly Hour," showcasing their intricate harmonies and polished, contemporary sound.
  • D. Bad Boy Boogie
    "Bad Boy Boogie" is a hard rock song by Australian band AC/DC, featured on their 1977 album *Let There Be Rock* and known for its driving riffs and rebellious lyrics.
  • E. Bad Boy for Love
    "Bad Boy for Love" is a hard rock song by Australian band Rose Tattoo that became one of their signature tracks and a staple of the pub rock scene.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4cacd881909fd722068b019f25 completed April 19, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:44 a.m.