Triple
T8257306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanrio Puroland |
E193101
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object | Hello Kitty |
E721186
|
NE FINISHED |
How this triple was built (2 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, hasMascot, Hello Kitty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hello Kitty Context triple: [Sanrio Puroland, hasMascot, Hello Kitty]
-
A.
Hello Kitty
chosen
Hello Kitty is a globally popular Japanese cartoon character and merchandising icon, depicted as a cute anthropomorphic white cat created by Sanrio.
-
B.
Gudetama
Gudetama is a popular Sanrio character depicted as a lazy, unmotivated egg yolk, known for its apathetic personality and humorous, relatable expressions of fatigue and indifference.
-
C.
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.
-
D.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69cd681e22188190b07ce523e2554812 |
completed | April 1, 2026, 6:46 p.m. |
Created at: March 30, 2026, 5:49 p.m.