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.