Triple
T18584341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bleach |
E454198
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Retsu Unohana
Retsu Unohana is a major character in the Bleach series, known as the seemingly gentle yet terrifyingly powerful former Kenpachi and captain of the 4th Division in the Gotei 13.
|
E1332345
|
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: Retsu Unohana | Statement: [Bleach, character, Retsu Unohana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Retsu Unohana Context triple: [Bleach, character, Retsu Unohana]
-
A.
Dr. Koto Shinryojo
Dr. Koto Shinryojo is a Japanese television drama series centered on a dedicated doctor working in a remote island clinic, known for its heartfelt storytelling and strong performances.
-
B.
Yoriko
Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
-
C.
Ogami Miyakoan
Ogami Miyakoan is a regional variety of the Miyakoan language spoken on Ogami Island in Okinawa, Japan.
-
D.
Shinobu
Shinobu is a Japanese given name commonly used for both males and females and borne by various notable figures in Japanese culture.
-
E.
Miki Sanjō
Miki Sanjō is a Japanese actress best known for her role in Akira Kurosawa’s 1949 drama film "The Quiet Duel."
- 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: Retsu Unohana Triple: [Bleach, character, Retsu Unohana]
Generated description
Retsu Unohana is a major character in the Bleach series, known as the seemingly gentle yet terrifyingly powerful former Kenpachi and captain of the 4th Division in the Gotei 13.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Retsu Unohana Target entity description: Retsu Unohana is a major character in the Bleach series, known as the seemingly gentle yet terrifyingly powerful former Kenpachi and captain of the 4th Division in the Gotei 13.
-
A.
Kiyone Makibi
Kiyone Makibi is a competent and long-suffering Galaxy Police detective from the Tenchi Muyo! franchise, often portrayed as the more serious and responsible partner to the chaotic Mihoshi.
-
B.
Dr. Koto Shinryojo
Dr. Koto Shinryojo is a Japanese television drama series centered on a dedicated doctor working in a remote island clinic, known for its heartfelt storytelling and strong performances.
-
C.
Yoriko
Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
-
D.
Ogami Miyakoan
Ogami Miyakoan is a regional variety of the Miyakoan language spoken on Ogami Island in Okinawa, Japan.
-
E.
Shinobu
Shinobu is a Japanese given name commonly used for both males and females and borne by various notable figures in Japanese culture.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543d200dc8190b8797d731f4e4865 |
completed | April 19, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f89193788190bd7334f80c23d0df |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04fe50f2c88190bba68d4c0025d0ef |
completed | May 13, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04ff3cef0481909eef191716f4c74d |
completed | May 13, 2026, 10:46 p.m. |
Created at: April 10, 2026, 11:44 a.m.