Triple
T6679329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikeda |
E151936
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ikeda Riyoko
Ikeda Riyoko is a renowned Japanese manga artist best known for creating the influential historical shōjo series "The Rose of Versailles."
|
E649107
|
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: Ikeda Riyoko | Statement: [Ikeda, hasNotableBearer, Ikeda Riyoko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikeda Riyoko Context triple: [Ikeda, hasNotableBearer, Ikeda Riyoko]
-
A.
Ikeda Yuki
Ikeda Yuki is a Japanese individual notable for bearing the surname Ikeda, likely recognized in a specific professional or cultural field.
-
B.
Nijō Motoko
Nijō Motoko was a Japanese noblewoman of the Nijō family and the mother of Empress Teimei, consort of Emperor Taishō.
-
C.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
-
D.
Koizumi Kyoko
Koizumi Kyoko is a prominent Japanese singer and actress who rose to fame in the 1980s as an idol and later became acclaimed for her versatile film and television roles.
-
E.
Kawashima Kiko
Kawashima Kiko, better known as Princess Kiko, is a member of the Japanese imperial family and the wife of Crown Prince Fumihito (Prince Akishino).
- 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: Ikeda Riyoko Triple: [Ikeda, hasNotableBearer, Ikeda Riyoko]
Generated description
Ikeda Riyoko is a renowned Japanese manga artist best known for creating the influential historical shōjo series "The Rose of Versailles."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ikeda Riyoko Target entity description: Ikeda Riyoko is a renowned Japanese manga artist best known for creating the influential historical shōjo series "The Rose of Versailles."
-
A.
Ikeda Yuki
Ikeda Yuki is a Japanese individual notable for bearing the surname Ikeda, likely recognized in a specific professional or cultural field.
-
B.
Nijō Motoko
Nijō Motoko was a Japanese noblewoman of the Nijō family and the mother of Empress Teimei, consort of Emperor Taishō.
-
C.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
-
D.
Koizumi Kyoko
Koizumi Kyoko is a prominent Japanese singer and actress who rose to fame in the 1980s as an idol and later became acclaimed for her versatile film and television roles.
-
E.
Kawashima Kiko
Kawashima Kiko, better known as Princess Kiko, is a member of the Japanese imperial family and the wife of Crown Prince Fumihito (Prince Akishino).
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0f6813c8190906f619b4276a232 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf6c62948190a8e8f0d8f259ba42 |
completed | March 28, 2026, 11:45 a.m. |
| NEDg | Description generation | batch_69c7c0cb1bc0819096daae8ab2202f0b |
completed | March 28, 2026, 11:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c1352f8881909c3a7d03a5f2a5b1 |
completed | March 28, 2026, 11:53 a.m. |
Created at: March 27, 2026, 2:03 p.m.