Triple
T17436275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High and Low |
E424008
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Kyōko Kagawa
Kyōko Kagawa is a renowned Japanese actress celebrated for her roles in classic films by directors such as Akira Kurosawa and Yasujirō Ozu.
|
E1383878
|
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: Kyōko Kagawa | Statement: [High and Low, starring, Kyōko Kagawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyōko Kagawa Context triple: [High and Low, starring, Kyōko Kagawa]
-
A.
Shoko Nakagawa
Shoko Nakagawa is a Japanese singer, voice actress, and television personality known for her prominent work in anime music and otaku culture.
-
B.
Chikako Asō
Chikako Asō is the wife of Japanese politician and former Prime Minister Tarō Asō and a member of a prominent political and aristocratic family.
-
C.
Keiko Awaji
Keiko Awaji was a Japanese actress and dancer known for her roles in both Japanese cinema and Hollywood films, particularly in the post-World War II era.
-
D.
Chikako Shimazu
Chikako Shimazu was a Japanese noblewoman of the influential Shimazu family and the mother of Empress Kōjun, consort of Emperor Shōwa (Hirohito).
-
E.
Yukiko Kobayashi
Yukiko Kobayashi is a Japanese actress best known for her roles in classic Toho kaiju films of the late 1960s and early 1970s.
- 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: Kyōko Kagawa Triple: [High and Low, starring, Kyōko Kagawa]
Generated description
Kyōko Kagawa is a renowned Japanese actress celebrated for her roles in classic films by directors such as Akira Kurosawa and Yasujirō Ozu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kyōko Kagawa Target entity description: Kyōko Kagawa is a renowned Japanese actress celebrated for her roles in classic films by directors such as Akira Kurosawa and Yasujirō Ozu.
-
A.
Shoko Nakagawa
Shoko Nakagawa is a Japanese singer, voice actress, and television personality known for her prominent work in anime music and otaku culture.
-
B.
Chikako Asō
Chikako Asō is the wife of Japanese politician and former Prime Minister Tarō Asō and a member of a prominent political and aristocratic family.
-
C.
Keiko Awaji
Keiko Awaji was a Japanese actress and dancer known for her roles in both Japanese cinema and Hollywood films, particularly in the post-World War II era.
-
D.
Chikako Shimazu
Chikako Shimazu was a Japanese noblewoman of the influential Shimazu family and the mother of Empress Kōjun, consort of Emperor Shōwa (Hirohito).
-
E.
Yukiko Kobayashi
Yukiko Kobayashi is a Japanese actress best known for her roles in classic Toho kaiju films of the late 1960s and early 1970s.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490426008190b474ed76aca5d6f3 |
completed | April 19, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0757617d188190bca3b093b6230405 |
completed | May 15, 2026, 5:26 p.m. |
| NEDg | Description generation | batch_6a07583fc26481908bd2f00c19f3b4cd |
completed | May 15, 2026, 5:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07594a23ac81908807df4605555d3f |
completed | May 15, 2026, 5:35 p.m. |
Created at: April 10, 2026, 5:46 a.m.