Triple

T19550633
Position Surface form Disambiguated ID Type / Status
Subject The Front Bottoms E489188 entity
Predicate hasSingle P3282 FINISHED
Object Lover Boy
"Lover Boy" is a song by the American indie rock band The Front Bottoms, known for their confessional lyrics and energetic, emo-influenced sound.
E1382596 NE FINISHED

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: Lover Boy | Statement: [The Front Bottoms, hasSingle, Lover Boy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lover Boy
Context triple: [The Front Bottoms, hasSingle, Lover Boy]
  • A. Lovergirl
    "Lovergirl" is a popular 1984 R&B and funk single by American singer Teena Marie, known for its catchy groove and powerful vocals.
  • B. Lover Alot
    Lover Alot is a hard-rock track by Aerosmith featured on their 2012 studio album "Music from Another Dimension!".
  • C. Lover to Lover
    "Lover to Lover" is a song by English indie rock band Florence + The Machine from their second studio album, Ceremonials.
  • 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. Lover’s Thing
    Lover’s Thing is a track associated with Ciara’s musical work, likely a song or interlude that contributes to the romantic and sensual themes of the Fantasy Ride era.
  • 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: Lover Boy
Triple: [The Front Bottoms, hasSingle, Lover Boy]
Generated description
"Lover Boy" is a song by the American indie rock band The Front Bottoms, known for their confessional lyrics and energetic, emo-influenced sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lover Boy
Target entity description: "Lover Boy" is a song by the American indie rock band The Front Bottoms, known for their confessional lyrics and energetic, emo-influenced sound.
  • A. Lovergirl
    "Lovergirl" is a popular 1984 R&B and funk single by American singer Teena Marie, known for its catchy groove and powerful vocals.
  • B. Lover Alot
    Lover Alot is a hard-rock track by Aerosmith featured on their 2012 studio album "Music from Another Dimension!".
  • C. Lover to Lover
    "Lover to Lover" is a song by English indie rock band Florence + The Machine from their second studio album, Ceremonials.
  • 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. Lover’s Thing
    Lover’s Thing is a track associated with Ciara’s musical work, likely a song or interlude that contributes to the romantic and sensual themes of the Fantasy Ride era.
  • F. None of above. chosen

Provenance (5 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d2feed48190ad49f64980dc885f completed April 20, 2026, 2:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074e8c84b88190be1790514c9c5481 completed May 15, 2026, 4:49 p.m.
NEDg Description generation batch_6a074f5df2c0819096c05a61b03d5145 completed May 15, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_6a07550147048190937b71f7f4d116cd completed May 15, 2026, 5:16 p.m.
Created at: April 10, 2026, 1:41 p.m.