Triple

T9426708
Position Surface form Disambiguated ID Type / Status
Subject The Tortured Poets Department E227278 entity
Predicate hasPart P35 FINISHED
Object Down Bad
"Down Bad" is a song by Taylor Swift from her 2024 album *The Tortured Poets Department*, exploring themes of heartbreak, obsession, and emotional vulnerability.
 E798533 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: Down Bad | Statement: [The Tortured Poets Department, hasPart, Down Bad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Down Bad
Context triple: [The Tortured Poets Department, hasPart, Down Bad]
  • A. So Bad
    "So Bad" is a melodic pop ballad by Paul McCartney, released in the early 1980s and noted for its smooth vocals and sentimental lyrics.
  • B. Bad Is Bad
    "Bad Is Bad" is a rock song by Huey Lewis and the News, featured on their hit 1983 album "Sports."
  • C. You Bad
    "You Bad" is a popular Afrobeat/R&B track by Nigerian singer Wande Coal, known for its catchy melody and smooth vocals.
  • D. It's Bad for Ya
    "It's Bad for Ya" is a 2008 stand-up comedy special by George Carlin, known for its sharp social commentary and being his final HBO performance before his death.
  • E. Bad (album)
    Bad is Michael Jackson’s 1987 studio album that continued his pop dominance with a harder-edged sound and multiple chart-topping singles.
  • 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: Down Bad
Triple: [The Tortured Poets Department, hasPart, Down Bad]
Generated description
"Down Bad" is a song by Taylor Swift from her 2024 album *The Tortured Poets Department*, exploring themes of heartbreak, obsession, and emotional vulnerability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Down Bad
Target entity description: "Down Bad" is a song by Taylor Swift from her 2024 album *The Tortured Poets Department*, exploring themes of heartbreak, obsession, and emotional vulnerability.
  • A. So Bad
    "So Bad" is a melodic pop ballad by Paul McCartney, released in the early 1980s and noted for its smooth vocals and sentimental lyrics.
  • B. Bad Is Bad
    "Bad Is Bad" is a rock song by Huey Lewis and the News, featured on their hit 1983 album "Sports."
  • C. You Bad
    "You Bad" is a popular Afrobeat/R&B track by Nigerian singer Wande Coal, known for its catchy melody and smooth vocals.
  • D. It's Bad for Ya
    "It's Bad for Ya" is a 2008 stand-up comedy special by George Carlin, known for its sharp social commentary and being his final HBO performance before his death.
  • E. Bad (album)
    Bad is Michael Jackson’s 1987 studio album that continued his pop dominance with a harder-edged sound and multiple chart-topping singles.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c908738819081df35c632f35f04 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107dd5bcc8190b3f0fdecf296fe29 completed April 4, 2026, 12:45 p.m.
NEDg Description generation batch_69d10890519c8190a1affc040c1d6a8f completed April 4, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_69d108f10fb48190968ae57799dd017c completed April 4, 2026, 12:49 p.m.
Created at: March 30, 2026, 7:49 p.m.