Triple
T8257271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanrio Puroland |
E193101
|
entity |
| Predicate | theme |
P261
|
FINISHED |
| Object |
Hello Kitty
Hello Kitty is a globally popular Japanese cartoon character and merchandising icon, depicted as a cute anthropomorphic white cat created by Sanrio.
|
E721186
|
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: Hello Kitty | Statement: [Sanrio Puroland, theme, Hello Kitty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hello Kitty Context triple: [Sanrio Puroland, theme, Hello Kitty]
-
A.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
B.
Kitty
"Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
-
C.
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.
-
D.
Kachidoki
Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
-
E.
Newton the cat
Newton the cat is a recurring feline character in Satyajit Ray’s Bengali science-fiction Professor Shonku stories, often accompanying the eccentric scientist on his adventures.
- 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: Hello Kitty Triple: [Sanrio Puroland, theme, Hello Kitty]
Generated description
Hello Kitty is a globally popular Japanese cartoon character and merchandising icon, depicted as a cute anthropomorphic white cat created by Sanrio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hello Kitty Target entity description: Hello Kitty is a globally popular Japanese cartoon character and merchandising icon, depicted as a cute anthropomorphic white cat created by Sanrio.
-
A.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
B.
Kitty
"Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
-
C.
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.
-
D.
Kachidoki
Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
-
E.
Newton the cat
Newton the cat is a recurring feline character in Satyajit Ray’s Bengali science-fiction Professor Shonku stories, often accompanying the eccentric scientist on his adventures.
- 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.