Triple

T8122665
Position Surface form Disambiguated ID Type / Status
Subject Madness E189644 entity
Predicate notableWork P4 FINISHED
Object Baggy Trousers
"Baggy Trousers" is a 1980 ska/pop single by the British band Madness, celebrated for its nostalgic lyrics about school days and its energetic, bouncy rhythm.
 E714608 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: Baggy Trousers | Statement: [Madness, notableWork, Baggy Trousers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baggy Trousers
Context triple: [Madness, notableWork, Baggy Trousers]
  • A. Pantaloon in Black
    "Pantaloon in Black" is a short story by William Faulkner that forms part of his collection *Go Down, Moses*, exploring themes of grief, racial tension, and injustice in the American South.
  • B. The Panties
    The Panties is a track by Mos Def featured on his genre-blending album "The New Danger."
  • C. Dirty Pants
    "Dirty Pants" is a song featured on the album "Rain on Lens" by the indie rock band Smog (Bill Callahan).
  • D. Thunderpants
    Thunderpants is a 2002 British family comedy film about a boy with an extraordinary flatulence problem who ends up becoming an unlikely hero.
  • E. Mother Wore Tights
    Mother Wore Tights is a 1947 American musical film starring Betty Grable that follows the lives and careers of a vaudeville song-and-dance couple.
  • 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: Baggy Trousers
Triple: [Madness, notableWork, Baggy Trousers]
Generated description
"Baggy Trousers" is a 1980 ska/pop single by the British band Madness, celebrated for its nostalgic lyrics about school days and its energetic, bouncy rhythm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baggy Trousers
Target entity description: "Baggy Trousers" is a 1980 ska/pop single by the British band Madness, celebrated for its nostalgic lyrics about school days and its energetic, bouncy rhythm.
  • A. Pantaloon in Black
    "Pantaloon in Black" is a short story by William Faulkner that forms part of his collection *Go Down, Moses*, exploring themes of grief, racial tension, and injustice in the American South.
  • B. The Panties
    The Panties is a track by Mos Def featured on his genre-blending album "The New Danger."
  • C. Dirty Pants
    "Dirty Pants" is a song featured on the album "Rain on Lens" by the indie rock band Smog (Bill Callahan).
  • D. Thunderpants
    Thunderpants is a 2002 British family comedy film about a boy with an extraordinary flatulence problem who ends up becoming an unlikely hero.
  • E. Mother Wore Tights
    Mother Wore Tights is a 1947 American musical film starring Betty Grable that follows the lives and careers of a vaudeville song-and-dance couple.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb435cb30881909ccaa2f625e53799 completed March 31, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc945c743c8190bf1d8e60975bd8bc completed April 1, 2026, 3:43 a.m.
NEDg Description generation batch_69cc976995e481908a7e8f3b49c2784b completed April 1, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_69cca843fbc0819098d1841fcef25eaa completed April 1, 2026, 5:08 a.m.
Created at: March 30, 2026, 5:33 p.m.