Triple
T11409421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matsui |
E270327
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Miyuki Matsui
Miyuki Matsui is a Japanese individual notable enough to be recognized as a namesake of the surname Matsui.
|
E931706
|
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: Miyuki Matsui | Statement: [Matsui, hasNotableBearer, Miyuki Matsui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miyuki Matsui Context triple: [Matsui, hasNotableBearer, Miyuki Matsui]
-
A.
Naoko Matsui
Naoko Matsui is a Japanese voice actress known for her work in numerous anime series and films.
-
B.
Airi Matsui
Airi Matsui is a Japanese actress, model, and former idol known for her work in television dramas, films, and fashion magazines.
-
C.
Yuko Tanaka
Yuko Tanaka is a Japanese academic and scholar who has served as president of Hosei University in Tokyo.
-
D.
Mitsumi Shimizu
Mitsumi Shimizu was a Japanese naval officer who served as a prominent submarine commander in the Imperial Japanese Navy during World War II.
-
E.
Yuki Suzuki
Yuki Suzuki is a Japanese given name shared by several notable individuals, including athletes and entertainers.
- 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: Miyuki Matsui Triple: [Matsui, hasNotableBearer, Miyuki Matsui]
Generated description
Miyuki Matsui is a Japanese individual notable enough to be recognized as a namesake of the surname Matsui.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miyuki Matsui Target entity description: Miyuki Matsui is a Japanese individual notable enough to be recognized as a namesake of the surname Matsui.
-
A.
Naoko Matsui
Naoko Matsui is a Japanese voice actress known for her work in numerous anime series and films.
-
B.
Airi Matsui
Airi Matsui is a Japanese actress, model, and former idol known for her work in television dramas, films, and fashion magazines.
-
C.
Yuko Tanaka
Yuko Tanaka is a Japanese academic and scholar who has served as president of Hosei University in Tokyo.
-
D.
Mitsumi Shimizu
Mitsumi Shimizu was a Japanese naval officer who served as a prominent submarine commander in the Imperial Japanese Navy during World War II.
-
E.
Yuki Suzuki
Yuki Suzuki is a Japanese given name shared by several notable individuals, including athletes and entertainers.
- 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_69e684e29a6c8190910b1c6f717d6c5e |
completed | April 20, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69e68fd6b6088190b24f552b5afc3f55 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6b7a31b4081909b06bc9b6d0a1617 |
completed | April 20, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:34 p.m.