Triple

T16209368
Position Surface form Disambiguated ID Type / Status
Subject King of the Hill E393416 entity
Predicate mainCharacter P1183 FINISHED
Object Boomhauer
Boomhauer is a fast-talking, mumbling ladies’ man and laid-back neighbor known for his distinctive speech pattern on the animated TV series "King of the Hill."
 E1200163 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: Boomhauer | Statement: [King of the Hill, mainCharacter, Boomhauer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Boomhauer
Context triple: [King of the Hill, mainCharacter, Boomhauer]
  • A. Boom Bishop
    Boom Bishop is a music producer best known for his work on the project "Let Love."
  • B. Northboi
    Northboi is a Nigerian music producer best known for crafting hit Afrobeats tracks, including some of Wizkid’s most popular songs.
  • C. Dr. Boom
    Dr. Boom is a powerful and iconic Legendary minion card from Hearthstone, notorious for its explosive Battlecry that summons Boom Bots and dominated the game's meta for a long time.
  • D. Bombo
    Bombo is a 1934 American comedy film starring the British music hall duo Flanagan and Allen, known for its lighthearted musical numbers and slapstick humor.
  • E. Shazzer
    Shazzer is one of Bridget Jones’s outspoken, feminist best friends in the romantic comedy film "Bridget Jones: The Edge of Reason."
  • 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: Boomhauer
Triple: [King of the Hill, mainCharacter, Boomhauer]
Generated description
Boomhauer is a fast-talking, mumbling ladies’ man and laid-back neighbor known for his distinctive speech pattern on the animated TV series "King of the Hill."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Boomhauer
Target entity description: Boomhauer is a fast-talking, mumbling ladies’ man and laid-back neighbor known for his distinctive speech pattern on the animated TV series "King of the Hill."
  • A. Boom Bishop
    Boom Bishop is a music producer best known for his work on the project "Let Love."
  • B. Northboi
    Northboi is a Nigerian music producer best known for crafting hit Afrobeats tracks, including some of Wizkid’s most popular songs.
  • C. Dr. Boom
    Dr. Boom is a powerful and iconic Legendary minion card from Hearthstone, notorious for its explosive Battlecry that summons Boom Bots and dominated the game's meta for a long time.
  • D. Bombo
    Bombo is a 1934 American comedy film starring the British music hall duo Flanagan and Allen, known for its lighthearted musical numbers and slapstick humor.
  • E. Shazzer
    Shazzer is one of Bridget Jones’s outspoken, feminist best friends in the romantic comedy film "Bridget Jones: The Edge of Reason."
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22711e4fc8190bf7a9f0c59b7889f completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007916d3481909d475f1661d80e77 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00083d7b54819089dbab566d55d638 completed May 10, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_6a0008c7430c81908b9620369c609ad8 completed May 10, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:03 a.m.