Triple
T8257274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanrio Puroland |
E193101
|
entity |
| Predicate | theme |
P261
|
FINISHED |
| Object |
Cinnamoroll
Cinnamoroll is a popular Sanrio character, a white puppy with long ears and a curly tail who often appears in cute, whimsical merchandise and media.
|
E721189
|
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: Cinnamoroll | Statement: [Sanrio Puroland, theme, Cinnamoroll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cinnamoroll Context triple: [Sanrio Puroland, theme, Cinnamoroll]
-
A.
Kumamon
Kumamon is a popular black bear mascot character created to promote Japan’s Kumamoto Prefecture, known nationwide for its cute, humorous appearance and extensive merchandising.
-
B.
Soso
Soso is a French diminutive nickname commonly used for the given name Sophie.
-
C.
Bunny
Bunny is a supporting character in the psychological thriller film "Don't Worry Darling," portrayed as a seemingly content housewife whose role becomes more complex as the story’s unsettling reality is revealed.
-
D.
Bunny
Bunny is a small village and civil parish in Nottinghamshire, England, known for its historic church and rural character.
-
E.
Bunny
"Bunny" is a 2005 Telugu-language romantic action film starring Allu Arjun, known for its energetic performances, catchy music, and mass appeal.
- 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: Cinnamoroll Triple: [Sanrio Puroland, theme, Cinnamoroll]
Generated description
Cinnamoroll is a popular Sanrio character, a white puppy with long ears and a curly tail who often appears in cute, whimsical merchandise and media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cinnamoroll Target entity description: Cinnamoroll is a popular Sanrio character, a white puppy with long ears and a curly tail who often appears in cute, whimsical merchandise and media.
-
A.
Kumamon
Kumamon is a popular black bear mascot character created to promote Japan’s Kumamoto Prefecture, known nationwide for its cute, humorous appearance and extensive merchandising.
-
B.
Soso
Soso is a French diminutive nickname commonly used for the given name Sophie.
-
C.
Bunny
Bunny is a supporting character in the psychological thriller film "Don't Worry Darling," portrayed as a seemingly content housewife whose role becomes more complex as the story’s unsettling reality is revealed.
-
D.
Bunny
Bunny is a small village and civil parish in Nottinghamshire, England, known for its historic church and rural character.
-
E.
Bunny
"Bunny" is a 2005 Telugu-language romantic action film starring Allu Arjun, known for its energetic performances, catchy music, and mass appeal.
- 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78fce9308190ac36512e80b06b52 |
completed | March 31, 2026, 7:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd355bef508190894bd01ec39e83f6 |
completed | April 1, 2026, 3:10 p.m. |
| NEDg | Description generation | batch_69cd37a7ea30819094b1c140868fab5f |
completed | April 1, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4f0055dc8190803a7c412533aec4 |
completed | April 1, 2026, 4:59 p.m. |
Created at: March 30, 2026, 5:49 p.m.