Triple

T13495991
Position Surface form Disambiguated ID Type / Status
Subject The Golden Age of Grotesque E320763 entity
Predicate hasPart P35 FINISHED
Object Ka-boom Ka-boom
"Ka-boom Ka-boom" is a track by Marilyn Manson featured on his 2003 industrial metal album *The Golden Age of Grotesque*.
 E1043882 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: Ka-boom Ka-boom | Statement: [The Golden Age of Grotesque, hasPart, Ka-boom Ka-boom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ka-boom Ka-boom
Context triple: [The Golden Age of Grotesque, hasPart, Ka-boom Ka-boom]
  • A. Kaboom
    Kaboom is a 2010 surreal coming-of-age dark comedy film written and directed by Gregg Araki.
  • B. Kaboom Town!
    Kaboom Town! is an annual Independence Day fireworks and entertainment festival held in Addison, Texas, known for one of the most spectacular pyrotechnic displays in the United States.
  • C. Boom-Boom
    Boom-Boom is a Marvel Comics mutant superhero known for generating explosive energy "time-bombs" and serving on teams like the New Mutants and X-Force.
  • D. Boom Boom
    "Boom Boom" is a classic 1961 electric blues song by John Lee Hooker that became one of his most famous and frequently covered recordings.
  • E. Boom Boom
    Boom Boom is a recurring mid-boss character in the Super Mario video game series, typically depicted as a spiked-shelled Koopa-like enemy who guards fortresses and stages.
  • 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: Ka-boom Ka-boom
Triple: [The Golden Age of Grotesque, hasPart, Ka-boom Ka-boom]
Generated description
"Ka-boom Ka-boom" is a track by Marilyn Manson featured on his 2003 industrial metal album *The Golden Age of Grotesque*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ka-boom Ka-boom
Target entity description: "Ka-boom Ka-boom" is a track by Marilyn Manson featured on his 2003 industrial metal album *The Golden Age of Grotesque*.
  • A. Kaboom
    Kaboom is a 2010 surreal coming-of-age dark comedy film written and directed by Gregg Araki.
  • B. Kaboom Town!
    Kaboom Town! is an annual Independence Day fireworks and entertainment festival held in Addison, Texas, known for one of the most spectacular pyrotechnic displays in the United States.
  • C. Boom-Boom
    Boom-Boom is a Marvel Comics mutant superhero known for generating explosive energy "time-bombs" and serving on teams like the New Mutants and X-Force.
  • D. Boom Boom
    Boom Boom is a recurring mid-boss character in the Super Mario video game series, typically depicted as a spiked-shelled Koopa-like enemy who guards fortresses and stages.
  • E. Boom Boom
    "Boom Boom" is a classic 1961 electric blues song by John Lee Hooker that became one of his most famous and frequently covered recordings.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4e9ca4819083116890a65389f9 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463fe0d081908484a7f16859008a completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74d048250819098baf78ff08c1633 completed May 3, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_69f750f7f11481908c60b49eef65b63f completed May 3, 2026, 1:43 p.m.
Created at: April 9, 2026, 9:43 p.m.