Triple
T23125942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaho Minami |
E577029
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
南 果歩
南果歩 is a Japanese actress known for her work in film, television dramas, and stage productions since the 1980s.
|
E1571020
|
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: 南 果歩 | Statement: [Kaho Minami, nativeName, 南 果歩]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 南 果歩 Context triple: [Kaho Minami, nativeName, 南 果歩]
-
A.
Inoue Mao
Inoue Mao is a Japanese actress best known for her lead role as Makino Tsukushi in the popular television drama "Hana Yori Dango."
-
B.
吉田禎子
吉田禎子は、日本の英文学者・評論家である吉田健一の妻として知られる人物である。
-
C.
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.
-
D.
Fumie Suguri
Fumie Suguri is a Japanese figure skater known for her international success in the early 2000s, including multiple World Championship medals and Grand Prix titles.
-
E.
Minako Hamano
Minako Hamano is a Japanese video game composer best known for her work on major Nintendo franchises, including contributions to the music of Donkey Kong Country Returns and several Metroid titles.
- 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: 南 果歩 Triple: [Kaho Minami, nativeName, 南 果歩]
Generated description
南果歩 is a Japanese actress known for her work in film, television dramas, and stage productions since the 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 南 果歩 Target entity description: 南果歩 is a Japanese actress known for her work in film, television dramas, and stage productions since the 1980s.
-
A.
Inoue Mao
Inoue Mao is a Japanese actress best known for her lead role as Makino Tsukushi in the popular television drama "Hana Yori Dango."
-
B.
吉田禎子
吉田禎子は、日本の英文学者・評論家である吉田健一の妻として知られる人物である。
-
C.
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.
-
D.
Fumie Suguri
Fumie Suguri is a Japanese figure skater known for her international success in the early 2000s, including multiple World Championship medals and Grand Prix titles.
-
E.
Minako Hamano
Minako Hamano is a Japanese video game composer best known for her work on major Nintendo franchises, including contributions to the music of Donkey Kong Country Returns and several Metroid titles.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e5482588190b95b36075ecc7f24 |
completed | April 29, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23f444d08190aa7fd967fc9c1d0a |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271f3c24819093f04fc69ae90160 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c27e86440819089fae3350b29d722 |
completed | May 19, 2026, 9:05 a.m. |
Created at: April 17, 2026, 3:59 p.m.