Triple
T14891443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ran |
E359761
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Yoshiko Miyazaki
Yoshiko Miyazaki is a Japanese actress known for her work in film, television, and voice acting, including roles in acclaimed productions such as Akira Kurosawa’s epic "Ran."
|
E1124679
|
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: Yoshiko Miyazaki | Statement: [Ran, castMember, Yoshiko Miyazaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yoshiko Miyazaki Context triple: [Ran, castMember, Yoshiko Miyazaki]
-
A.
Yasuko Miyamoto
Yasuko Miyamoto is the wife of renowned Japanese video game designer Shigeru Miyamoto, known as the creator of iconic Nintendo franchises like Super Mario and The Legend of Zelda.
-
B.
Mie Fukuda
Mie Fukuda is best known as the wife of former Japanese Prime Minister Takeo Fukuda.
-
C.
Michiru Ōshima
Michiru Ōshima is a Japanese composer renowned for her orchestral and soundtrack work across anime, film, and video games.
-
D.
Eriko Miyagawa
Eriko Miyagawa is a television producer best known for her executive production work on the series "Shōgun."
-
E.
Yumiko Owada
Yumiko Owada is the mother of Masako Owada, who became Empress Masako of Japan.
- 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: Yoshiko Miyazaki Triple: [Ran, castMember, Yoshiko Miyazaki]
Generated description
Yoshiko Miyazaki is a Japanese actress known for her work in film, television, and voice acting, including roles in acclaimed productions such as Akira Kurosawa’s epic "Ran."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yoshiko Miyazaki Target entity description: Yoshiko Miyazaki is a Japanese actress known for her work in film, television, and voice acting, including roles in acclaimed productions such as Akira Kurosawa’s epic "Ran."
-
A.
Yasuko Miyamoto
Yasuko Miyamoto is the wife of renowned Japanese video game designer Shigeru Miyamoto, known as the creator of iconic Nintendo franchises like Super Mario and The Legend of Zelda.
-
B.
Mie Fukuda
Mie Fukuda is best known as the wife of former Japanese Prime Minister Takeo Fukuda.
-
C.
Michiru Ōshima
Michiru Ōshima is a Japanese composer renowned for her orchestral and soundtrack work across anime, film, and video games.
-
D.
Eriko Miyagawa
Eriko Miyagawa is a television producer best known for her executive production work on the series "Shōgun."
-
E.
Yumiko Owada
Yumiko Owada is the mother of Masako Owada, who became Empress Masako of Japan.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f883288190af602633fa7d6860 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b65ac5c81908691de1161d07de0 |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6c68c46881909e7c748c0dff73d5 |
completed | May 8, 2026, 11:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6d1eea60819087ca2ebc7d0a8994 |
completed | May 8, 2026, 11:09 p.m. |
Created at: April 10, 2026, 2:10 a.m.