Triple

T17844127
Position Surface form Disambiguated ID Type / Status
Subject Brandon Pertzborn E445610 entity
Predicate associatedBand P6597 FINISHED
Object Ho99o9
Ho99o9 is an American experimental hip hop and hardcore punk duo known for their chaotic live shows and genre-blending, politically charged sound.
 E1290753 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: Ho99o9 | Statement: [Brandon Pertzborn, associatedBand, Ho99o9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ho99o9
Context triple: [Brandon Pertzborn, associatedBand, Ho99o9]
  • A. HOO
    HOO is the Croatian Olympic Committee, the national body responsible for organizing Croatia’s participation in the Olympic Games and promoting Olympic sports in the country.
  • B. He-O
    He-O is a musical track by the Greek composer Vangelis, featured on his 1979 electronic and progressive album "Earth."
  • C. B99
    B99 is a popular American comedy television series set in a Brooklyn police precinct, known for its ensemble cast, witty humor, and progressive themes.
  • D. HUU
    HUU is the students' union representing and supporting students at the University of Hull through services, activities, and advocacy.
  • E. Ho
    Ho is the given name of the Korean-born contemporary artist Do Ho Suh, known for his large-scale installations exploring space, memory, and identity.
  • 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: Ho99o9
Triple: [Brandon Pertzborn, associatedBand, Ho99o9]
Generated description
Ho99o9 is an American experimental hip hop and hardcore punk duo known for their chaotic live shows and genre-blending, politically charged sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ho99o9
Target entity description: Ho99o9 is an American experimental hip hop and hardcore punk duo known for their chaotic live shows and genre-blending, politically charged sound.
  • A. HOO
    HOO is the Croatian Olympic Committee, the national body responsible for organizing Croatia’s participation in the Olympic Games and promoting Olympic sports in the country.
  • B. He-O
    He-O is a musical track by the Greek composer Vangelis, featured on his 1979 electronic and progressive album "Earth."
  • C. B99
    B99 is a popular American comedy television series set in a Brooklyn police precinct, known for its ensemble cast, witty humor, and progressive themes.
  • D. HUU
    HUU is the students' union representing and supporting students at the University of Hull through services, activities, and advocacy.
  • E. Ho
    Ho is the given name of the Korean-born contemporary artist Do Ho Suh, known for his large-scale installations exploring space, memory, and identity.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ff980048190b496c55b83b3b318 completed April 19, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a030700bc908190a4c3d995a0674875 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a0307cca7888190905abe3c1c317c1a completed May 12, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_6a03084521d88190ab60f3cbdfdb0869 completed May 12, 2026, 11 a.m.
Created at: April 10, 2026, 10:16 a.m.