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.