Triple
T15165455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perfume |
E362327
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Yuka Kashino
Yuka Kashino is a Japanese singer and dancer best known as a member of the technopop girl group Perfume.
|
E1148575
|
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: Yuka Kashino | Statement: [Perfume, hasMember, Yuka Kashino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuka Kashino Context triple: [Perfume, hasMember, Yuka Kashino]
-
A.
Yuka Kato
Yuka Kato is a Japanese stage actress and singer known for performing in musical theatre productions, including the Japanese staging of "The Prince of Broadway."
-
B.
Yūko Kishi
Yūko Kishi is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kishi.
-
C.
Ayako Wakao
Ayako Wakao is a renowned Japanese actress celebrated for her prolific film career from the 1950s onward, particularly in collaborations with director Yasuzō Masumura.
-
D.
Ayao Komatsu
Ayao Komatsu is a Japanese motorsport engineer and manager who serves as the team principal of the Haas Formula 1 Team.
-
E.
Mieko Harada
Mieko Harada is a Japanese actress best known internationally for her intense portrayal of Lady Kaede in Akira Kurosawa’s epic film "Ran."
- 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: Yuka Kashino Triple: [Perfume, hasMember, Yuka Kashino]
Generated description
Yuka Kashino is a Japanese singer and dancer best known as a member of the technopop girl group Perfume.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuka Kashino Target entity description: Yuka Kashino is a Japanese singer and dancer best known as a member of the technopop girl group Perfume.
-
A.
Yuka Kato
Yuka Kato is a Japanese stage actress and singer known for performing in musical theatre productions, including the Japanese staging of "The Prince of Broadway."
-
B.
Yūko Kishi
Yūko Kishi is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kishi.
-
C.
Ayako Wakao
Ayako Wakao is a renowned Japanese actress celebrated for her prolific film career from the 1950s onward, particularly in collaborations with director Yasuzō Masumura.
-
D.
Ayao Komatsu
Ayao Komatsu is a Japanese motorsport engineer and manager who serves as the team principal of the Haas Formula 1 Team.
-
E.
Mieko Harada
Mieko Harada is a Japanese actress best known internationally for her intense portrayal of Lady Kaede in Akira Kurosawa’s epic film "Ran."
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064c6244819085daf8e1eafdf3f2 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef64dbfc819098dac50500673ed4 |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef1f731808190957aaa88a86b194c |
completed | May 9, 2026, 8:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef37d1b7081908c5b1be109f590d9 |
completed | May 9, 2026, 8:42 a.m. |
Created at: April 10, 2026, 3:08 a.m.