Triple
T10718923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mickey Mouse Club |
E252764
|
entity |
| Predicate | features |
P997
|
FINISHED |
| Object |
Mouseketeers
Mouseketeers are the child and teen performers who served as the on-screen cast of Disney’s classic television variety show The Mickey Mouse Club.
|
E882011
|
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: Mouseketeers | Statement: [The Mickey Mouse Club, features, Mouseketeers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mouseketeers Context triple: [The Mickey Mouse Club, features, Mouseketeers]
-
A.
Maimies
Maimies is an alternate historical name for the Mayaimi people, a Native American group that once inhabited the Lake Okeechobee region of present-day Florida.
-
B.
Lil Mouse
Lil Mouse is a Chicago drill rapper who gained early notoriety as a teenager for his gritty street-themed tracks and collaborations with prominent artists in the scene.
-
C.
Tukkies
Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
-
D.
Bizaardvark
Bizaardvark is a Disney Channel comedy series about two teen best friends who create funny music videos for their online channel.
-
E.
Moppet
Moppet is one of the mischievous kitten siblings in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
- F. None of above.
- 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: Mouseketeers Triple: [The Mickey Mouse Club, features, Mouseketeers]
Generated description
Mouseketeers are the child and teen performers who served as the on-screen cast of Disney’s classic television variety show The Mickey Mouse Club.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mouseketeers Target entity description: Mouseketeers are the child and teen performers who served as the on-screen cast of Disney’s classic television variety show The Mickey Mouse Club.
-
A.
Maimies
Maimies is an alternate historical name for the Mayaimi people, a Native American group that once inhabited the Lake Okeechobee region of present-day Florida.
-
B.
Lil Mouse
Lil Mouse is a Chicago drill rapper who gained early notoriety as a teenager for his gritty street-themed tracks and collaborations with prominent artists in the scene.
-
C.
Tukkies
Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
-
D.
Bizaardvark
Bizaardvark is a Disney Channel comedy series about two teen best friends who create funny music videos for their online channel.
-
E.
Moppet
Moppet is one of the mischievous kitten siblings in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3722ec8190b2d78a5630bf6efc |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb71dd6f88190beb99ca75914fb09 |
completed | April 12, 2026, 3:15 p.m. |
| NEDg | Description generation | batch_69dbbbe3d9dc819088f85d41ef66ab29 |
completed | April 12, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbc58a5ef481908e67fff6686fb506 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 8, 2026, 9:13 p.m.