Triple
T13109787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birdo |
E310938
|
entity |
| Predicate | voiceActorJapanese |
P99957
|
FINISHED |
| Object |
Akiko Koike
Akiko Koike is a Japanese voice actress known for providing the Japanese voice of the Nintendo character Birdo.
|
E1023031
|
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: Akiko Koike | Statement: [Birdo, voiceActorJapanese, Akiko Koike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akiko Koike Context triple: [Birdo, voiceActorJapanese, Akiko Koike]
-
A.
Yuriko Koike
Yuriko Koike is a Japanese politician and former Tokyo governor known for her reformist agenda and for founding the national political party Party of Hope.
-
B.
Erika Koike
Erika Koike is a professional makeup artist best known for her brief, highly publicized marriage to actor Nicolas Cage.
-
C.
Yuko Kishida
Yuko Kishida is the wife of Japanese Prime Minister Fumio Kishida and serves as Japan’s First Lady, engaging in various diplomatic and public activities.
-
D.
Haruka Satō
Haruka Satō is a Japanese individual notable enough to be recognized as a bearer of the common surname Satō.
-
E.
Miyuki Hatoyama
Miyuki Hatoyama is a Japanese former actress and television personality known for her unconventional, spiritual views and high-profile role as the wife of former Prime Minister Yukio Hatoyama.
- 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: Akiko Koike Triple: [Birdo, voiceActorJapanese, Akiko Koike]
Generated description
Akiko Koike is a Japanese voice actress known for providing the Japanese voice of the Nintendo character Birdo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akiko Koike Target entity description: Akiko Koike is a Japanese voice actress known for providing the Japanese voice of the Nintendo character Birdo.
-
A.
Yuriko Koike
Yuriko Koike is a Japanese politician and former Tokyo governor known for her reformist agenda and for founding the national political party Party of Hope.
-
B.
Erika Koike
Erika Koike is a professional makeup artist best known for her brief, highly publicized marriage to actor Nicolas Cage.
-
C.
Yuko Kishida
Yuko Kishida is the wife of Japanese Prime Minister Fumio Kishida and serves as Japan’s First Lady, engaging in various diplomatic and public activities.
-
D.
Haruka Satō
Haruka Satō is a Japanese individual notable enough to be recognized as a bearer of the common surname Satō.
-
E.
Miyuki Hatoyama
Miyuki Hatoyama is a Japanese former actress and television personality known for her unconventional, spiritual views and high-profile role as the wife of former Prime Minister Yukio Hatoyama.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817e4f408190b77c198b4157d77a |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27d8110819087ade3537f867ae0 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e4c5e2888190b0bfcdf2cc25ad5f |
completed | May 3, 2026, 6:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e5979df881909db42a735b9b1064 |
completed | May 3, 2026, 6:05 a.m. |
Created at: April 9, 2026, 9:05 p.m.