Triple

T1787077
Position Surface form Disambiguated ID Type / Status
Subject Monkey Business E39416 entity
Predicate includesTrack P3284 FINISHED
Object Disco Club
"Disco Club" is a song featured on the album "Monkey Business," likely characterized by dance-oriented, disco-influenced music.
E198971 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: Disco Club | Statement: [Monkey Business, includesTrack, Disco Club]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Disco Club
Context triple: [Monkey Business, includesTrack, Disco Club]
  • A. Electric Ballroom
    Electric Ballroom is a historic live music venue and nightclub in Camden Town, London, known for hosting rock, punk, and alternative acts since the mid-20th century.
  • B. Kill the DJ
    "Kill the DJ" is a punk rock song by Green Day from their 2012 album ¡Uno!, noted for its dance-punk style and politically tinged lyrics.
  • C. Rock 'n' Groove
    Rock 'n' Groove is a reggae album by Bunny Wailer that showcases his distinctive blend of roots rhythms and danceable grooves.
  • D. Dranse
    The Dranse is a river in the Haute-Savoie region of France that flows from the Alps into Lake Geneva near Thonon-les-Bains.
  • E. Dance the Night
    "Dance the Night" is a disco-pop song by Dua Lipa, best known for its inclusion on the soundtrack of the 2023 film *Barbie*.
  • 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: Disco Club
Triple: [Monkey Business, includesTrack, Disco Club]
Generated description
"Disco Club" is a song featured on the album "Monkey Business," likely characterized by dance-oriented, disco-influenced music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Disco Club
Target entity description: "Disco Club" is a song featured on the album "Monkey Business," likely characterized by dance-oriented, disco-influenced music.
  • A. Electric Ballroom
    Electric Ballroom is a historic live music venue and nightclub in Camden Town, London, known for hosting rock, punk, and alternative acts since the mid-20th century.
  • B. Kill the DJ
    "Kill the DJ" is a punk rock song by Green Day from their 2012 album ¡Uno!, noted for its dance-punk style and politically tinged lyrics.
  • C. Rock 'n' Groove
    Rock 'n' Groove is a reggae album by Bunny Wailer that showcases his distinctive blend of roots rhythms and danceable grooves.
  • D. Dranse
    The Dranse is a river in the Haute-Savoie region of France that flows from the Alps into Lake Geneva near Thonon-les-Bains.
  • E. Dance the Night
    "Dance the Night" is a disco-pop song by Dua Lipa, best known for its inclusion on the soundtrack of the 2023 film *Barbie*.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650ea238819093a15df6f9d73e2d completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a66da8819085867355c174adce completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adaab488ec81909a340aab4916b90f completed March 8, 2026, 4:58 p.m.
NED2 Entity disambiguation (via description) batch_69adaf3cd23081909dd27c5de8e3f6d2 completed March 8, 2026, 5:17 p.m.
Created at: March 4, 2026, 7:32 p.m.