Triple

T15732005
Position Surface form Disambiguated ID Type / Status
Subject Clone High E381367 entity
Predicate productionCompany P490 FINISHED
Object Doogtoons
Doogtoons is an independent animation studio and production company known for creating web-based animated series and comedic cartoons.
E1174495 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: Doogtoons | Statement: [Clone High, productionCompany, Doogtoons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doogtoons
Context triple: [Clone High, productionCompany, Doogtoons]
  • A. Toodles
    Toodles is the helpful, floating gadget character in "Mickey Mouse Clubhouse" that provides the Mouseketools the characters need to solve problems.
  • B. Monkey-Doodle-Doo
    "Monkey-Doodle-Doo" is a lively novelty song featured in the Marx Brothers' 1929 film and stage musical *The Cocoanuts*.
  • C. Doo-Dah
    Doo-Dah is a quirky, affectionate nickname used by locals to refer to the city of Wichita, Kansas.
  • D. Toof
    Toof is a surname most notably associated with individuals such as Grace Toof.
  • E. Shaggydog
    Shaggydog is the fierce black direwolf companion of Rickon Stark in the world of A Song of Ice and Fire and its television adaptation Game of Thrones.
  • 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: Doogtoons
Triple: [Clone High, productionCompany, Doogtoons]
Generated description
Doogtoons is an independent animation studio and production company known for creating web-based animated series and comedic cartoons.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Doogtoons
Target entity description: Doogtoons is an independent animation studio and production company known for creating web-based animated series and comedic cartoons.
  • A. Toodles
    Toodles is the helpful, floating gadget character in "Mickey Mouse Clubhouse" that provides the Mouseketools the characters need to solve problems.
  • B. Monkey-Doodle-Doo
    "Monkey-Doodle-Doo" is a lively novelty song featured in the Marx Brothers' 1929 film and stage musical *The Cocoanuts*.
  • C. Doo-Dah
    Doo-Dah is a quirky, affectionate nickname used by locals to refer to the city of Wichita, Kansas.
  • D. Toof
    Toof is a surname most notably associated with individuals such as Grace Toof.
  • E. Shaggydog
    Shaggydog is the fierce black direwolf companion of Rickon Stark in the world of A Song of Ice and Fire and its television adaptation Game of Thrones.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd3614481908b2694b1d3550058 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82fed7888190b45f28ac91e0079e completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83b7a534819090e24491579376c3 completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff844fa00c8190a47eb46394db097b completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:46 a.m.