Triple
T11409414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matsui |
E270327
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Naoko Matsui
Naoko Matsui is a Japanese voice actress known for her work in numerous anime series and films.
|
E929566
|
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: Naoko Matsui | Statement: [Matsui, hasNotableBearer, Naoko Matsui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naoko Matsui Context triple: [Matsui, hasNotableBearer, Naoko Matsui]
-
A.
Airi Matsui
Airi Matsui is a Japanese actress, model, and former idol known for her work in television dramas, films, and fashion magazines.
-
B.
Mayuko Tanaka
Mayuko Tanaka is a Japanese public figure best known as the daughter of politician Makiko Tanaka and granddaughter of former Prime Minister Kakuei Tanaka.
-
C.
Yoriko Matsui
Yoriko Matsui is a Japanese individual notable enough to be recognized as a prominent bearer of the Matsui surname.
-
D.
Yuko Tanaka
Yuko Tanaka is a Japanese academic and scholar who has served as president of Hosei University in Tokyo.
-
E.
Atsuko Nishida
Atsuko Nishida is a Japanese illustrator and character designer best known for creating Pikachu and contributing to many iconic Pokémon designs.
- 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: Naoko Matsui Triple: [Matsui, hasNotableBearer, Naoko Matsui]
Generated description
Naoko Matsui is a Japanese voice actress known for her work in numerous anime series and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naoko Matsui Target entity description: Naoko Matsui is a Japanese voice actress known for her work in numerous anime series and films.
-
A.
Airi Matsui
Airi Matsui is a Japanese actress, model, and former idol known for her work in television dramas, films, and fashion magazines.
-
B.
Mayuko Tanaka
Mayuko Tanaka is a Japanese public figure best known as the daughter of politician Makiko Tanaka and granddaughter of former Prime Minister Kakuei Tanaka.
-
C.
Yoriko Matsui
Yoriko Matsui is a Japanese individual notable enough to be recognized as a prominent bearer of the Matsui surname.
-
D.
Yuko Tanaka
Yuko Tanaka is a Japanese academic and scholar who has served as president of Hosei University in Tokyo.
-
E.
Atsuko Nishida
Atsuko Nishida is a Japanese illustrator and character designer best known for creating Pikachu and contributing to many iconic Pokémon designs.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014e72748190a01bde2f0105cedb |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e624600e0081909cc6f53c05a34efb |
completed | April 20, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69e62cf224f881908badcdab6aea1aef |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e663ffedfc8190a2b51995c62d1e6b |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:34 p.m.