Triple
T13455764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kō Shibasaki |
E311227
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
柴咲コウ
柴咲コウ is a Japanese actress and singer known for her prominent roles in film and television as well as her successful music career.
|
E1041510
|
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: 柴咲コウ | Statement: [Kō Shibasaki, nativeName, 柴咲コウ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 柴咲コウ Context triple: [Kō Shibasaki, nativeName, 柴咲コウ]
-
A.
Konekomaru Miwa
Konekomaru Miwa is a studious and tactically minded young exorcist-in-training from the manga and anime series Blue Exorcist, known for his intelligence, loyalty, and strong sense of duty to his friends.
-
B.
Miyazawa Rie
Miyazawa Rie is a Japanese actress and former fashion model known for her acclaimed film roles and high-profile presence in Japanese entertainment since the late 1980s.
-
C.
Okamura Sayaka
Okamura Sayaka is a Japanese voice actress and singer known for her work in anime and related media.
-
D.
Kazunari Koizumi
Kazunari Koizumi is a Japanese politician who serves as the mayor of Narita in Chiba Prefecture.
-
E.
Okamura Rina
Okamura Rina is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Okamura, likely in the entertainment or cultural sphere.
- 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: 柴咲コウ Triple: [Kō Shibasaki, nativeName, 柴咲コウ]
Generated description
柴咲コウ is a Japanese actress and singer known for her prominent roles in film and television as well as her successful music career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 柴咲コウ Target entity description: 柴咲コウ is a Japanese actress and singer known for her prominent roles in film and television as well as her successful music career.
-
A.
Konekomaru Miwa
Konekomaru Miwa is a studious and tactically minded young exorcist-in-training from the manga and anime series Blue Exorcist, known for his intelligence, loyalty, and strong sense of duty to his friends.
-
B.
Miyazawa Rie
Miyazawa Rie is a Japanese actress and former fashion model known for her acclaimed film roles and high-profile presence in Japanese entertainment since the late 1980s.
-
C.
Okamura Sayaka
Okamura Sayaka is a Japanese voice actress and singer known for her work in anime and related media.
-
D.
Kazunari Koizumi
Kazunari Koizumi is a Japanese politician who serves as the mayor of Narita in Chiba Prefecture.
-
E.
Okamura Rina
Okamura Rina is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Okamura, likely in the entertainment or cultural sphere.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaefc52448190b30d7999f44a9765 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399e33008190b10c14f30ff0c0d2 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73e59f4d88190b13904a347072cdd |
completed | May 3, 2026, 12:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73ece474c81909007cf1330a5b8c1 |
completed | May 3, 2026, 12:25 p.m. |
Created at: April 9, 2026, 9:41 p.m.