Triple
T22014145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnie |
E543660
|
entity |
| Predicate | hasSpelling |
P457
|
FINISHED |
| Object |
M-i-n-n-i-e
M-i-n-n-i-e is the stylized spelling of the name "Minnie," commonly associated with the iconic Disney character Minnie Mouse.
|
E1514586
|
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: M-i-n-n-i-e | Statement: [Minnie, hasSpelling, M-i-n-n-i-e]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-i-n-n-i-e Context triple: [Minnie, hasSpelling, M-i-n-n-i-e]
-
A.
Minnet
"Minnet" is a poignant musical number from the Swedish musical "Kristina från Duvemåla," known for its emotional reflection on memory and longing.
-
B.
Minnagara
Minnagara was an ancient South Asian city that served as a major political and commercial center under the Indo-Scythian rulers.
-
C.
Minnan
Minnan is a major Sinitic language variety spoken primarily in southern Fujian, Taiwan, and among overseas Chinese communities in Southeast Asia.
-
D.
Outreau
Outreau is a commune in the Pas-de-Calais department in northern France, known in particular for a major early-2000s judicial scandal.
-
E.
Mayo
Mayo is an Australian federal electoral division in South Australia, encompassing a mix of Adelaide Hills communities and regional areas.
- 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: M-i-n-n-i-e Triple: [Minnie, hasSpelling, M-i-n-n-i-e]
Generated description
M-i-n-n-i-e is the stylized spelling of the name "Minnie," commonly associated with the iconic Disney character Minnie Mouse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M-i-n-n-i-e Target entity description: M-i-n-n-i-e is the stylized spelling of the name "Minnie," commonly associated with the iconic Disney character Minnie Mouse.
-
A.
Minnet
"Minnet" is a poignant musical number from the Swedish musical "Kristina från Duvemåla," known for its emotional reflection on memory and longing.
-
B.
Minnagara
Minnagara was an ancient South Asian city that served as a major political and commercial center under the Indo-Scythian rulers.
-
C.
Minnan
Minnan is a major Sinitic language variety spoken primarily in southern Fujian, Taiwan, and among overseas Chinese communities in Southeast Asia.
-
D.
Outreau
Outreau is a commune in the Pas-de-Calais department in northern France, known in particular for a major early-2000s judicial scandal.
-
E.
Mayo
Mayo is an Australian federal electoral division in South Australia, encompassing a mix of Adelaide Hills communities and regional areas.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a6bf6081909865781ea7937a1b |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a737b547481908e9ac94f15149432 |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a7516835c8190be60bd61f67307c6 |
completed | May 18, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a75cbb2408190b058713432b048a2 |
completed | May 18, 2026, 2:13 a.m. |
Created at: April 16, 2026, 8:22 p.m.