Triple

T17360937
Position Surface form Disambiguated ID Type / Status
Subject Moon Safari E422063 entity
Predicate hasPart P35 FINISHED
Object Sexy Boy — NE ONDG

How this triple was built (4 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, hasPart, Sexy Boy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sexy Boy
Context triple: [Moon Safari, hasPart, Sexy Boy]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Big Sexy
    Big Sexy is the popular nickname of Bartolo Colón, a Dominican former Major League Baseball pitcher known for his longevity, charisma, and memorable moments on the mound and at the plate.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sexy Boy
Triple: [Moon Safari, hasPart, Sexy Boy]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sexy Boy
Target entity description: "Sexy Boy" is a popular electronic pop song by the French duo Air, known for its dreamy synths and laid-back, atmospheric style.
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Big Sexy
    Big Sexy is the popular nickname of Bartolo Colón, a Dominican former Major League Baseball pitcher known for his longevity, charisma, and memorable moments on the mound and at the plate.
  • F. None of above. chosen

Provenance (4 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.
NED1 Entity disambiguation (via context triple) batch_6a0195609d988190b7a70f8eabf75eaa completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01962ae4848190b2aad8e19bf6522f in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:44 a.m.