Triple
T5759903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aminda "Minnie" Badeau |
E127064
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Minnie
Minnie is the nickname of Aminda "Minnie" Badeau, likely used as her familiar or preferred given name.
|
E543660
|
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: Minnie | Statement: [Aminda "Minnie" Badeau, hasNickname, Minnie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minnie Context triple: [Aminda "Minnie" Badeau, hasNickname, Minnie]
-
A.
Minnie Mouse
Minnie Mouse is an iconic Disney cartoon character known as Mickey Mouse’s longtime sweetheart, recognizable by her polka-dot dress and bow.
-
B.
Skinny Minnie
"Skinny Minnie" is a 1958 rock and roll song by Bill Haley & His Comets that became one of the band's best-known recordings and a staple of early rock music.
-
C.
Daisy Duck
Daisy Duck is a classic Disney cartoon character, typically portrayed as Donald Duck’s sophisticated, strong-willed girlfriend and a close friend of Minnie Mouse.
-
D.
Della Duck
Della Duck is a Disney cartoon character best known as Donald Duck’s adventurous sister and the mother of Huey, Dewey, and Louie.
-
E.
Mickey
Mickey is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by monstrous creatures.
- 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: Minnie Triple: [Aminda "Minnie" Badeau, hasNickname, Minnie]
Generated description
Minnie is the nickname of Aminda "Minnie" Badeau, likely used as her familiar or preferred given name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Minnie Target entity description: Minnie is the nickname of Aminda "Minnie" Badeau, likely used as her familiar or preferred given name.
-
A.
Minnie Mouse
Minnie Mouse is an iconic Disney cartoon character known as Mickey Mouse’s longtime sweetheart, recognizable by her polka-dot dress and bow.
-
B.
Skinny Minnie
"Skinny Minnie" is a 1958 rock and roll song by Bill Haley & His Comets that became one of the band's best-known recordings and a staple of early rock music.
-
C.
Daisy Duck
Daisy Duck is a classic Disney cartoon character, typically portrayed as Donald Duck’s sophisticated, strong-willed girlfriend and a close friend of Minnie Mouse.
-
D.
Della Duck
Della Duck is a Disney cartoon character best known as Donald Duck’s adventurous sister and the mother of Huey, Dewey, and Louie.
-
E.
Mickey
Mickey is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by monstrous creatures.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02938972c8190992149ea943f87bf |
completed | March 22, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e507d348190a983a4c127b78de0 |
completed | March 22, 2026, 11:42 p.m. |
| NEDg | Description generation | batch_69c0895a350c819098bfe51833e7f0da |
completed | March 23, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c089e769248190aec908d826a36a85 |
completed | March 23, 2026, 12:31 a.m. |
Created at: March 22, 2026, 3:49 p.m.