Triple
T14530982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spirited Away |
E340913
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Chihiro Ogino |
E1105661
|
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: Chihiro Ogino | Statement: [Spirited Away, hasCharacter, Chihiro Ogino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chihiro Ogino Context triple: [Spirited Away, hasCharacter, Chihiro Ogino]
-
A.
Chihiro Ogino
chosen
Chihiro Ogino is the young girl who becomes trapped in a mysterious spirit world and must find the courage to save her parents in Hayao Miyazaki’s animated film "Spirited Away."
-
B.
Yosaki Takahashi
Yosaki Takahashi is a Japanese politician who serves as the mayor of Kawagoe in Saitama Prefecture.
-
C.
Yuya Osako
Yuya Osako is a Japanese professional footballer and forward known for his goal-scoring ability in both the J.League and the Japan national team.
-
D.
Kiko Mizuhara
Kiko Mizuhara is a Japanese-American model, actress, and designer known for her prominent work in fashion and film, as well as her influence in contemporary Japanese pop culture.
-
E.
Yuko Tanaka
Yuko Tanaka is a Japanese academic and scholar who has served as president of Hosei University in Tokyo.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea052d01c81909c8592c351be6f35 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94acd8288190a91bf09220126e13 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:22 a.m.