Triple
T11409408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matsui |
E270327
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Rena Matsui
Rena Matsui is a Japanese actress, singer, and former idol best known as a prominent member of the girl group SKE48 and for her subsequent work in television dramas and films.
|
E926988
|
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: Rena Matsui | Statement: [Matsui, hasNotableBearer, Rena Matsui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rena Matsui Context triple: [Matsui, hasNotableBearer, Rena Matsui]
-
A.
Yoriko Matsui
Yoriko Matsui is a Japanese individual notable enough to be recognized as a prominent bearer of the Matsui surname.
-
B.
Lisa Matsuda
Lisa Matsuda is a neuroscientist best known for identifying and characterizing the CB1 cannabinoid receptor, a key component of the endocannabinoid system in the brain.
-
C.
Mandy Taketa
Mandy Taketa is an American actress, dancer, and yoga instructor best known as the ex-wife of comedian and television host Wayne Brady.
-
D.
Sakiko Matsui
Sakiko Matsui is a Japanese singer and former member of the idol group AKB48.
-
E.
Eleanor Matsuura
Eleanor Matsuura is a British actress known for her work in television, film, and theatre, including prominent roles in series such as The Walking Dead and Sherlock.
- 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: Rena Matsui Triple: [Matsui, hasNotableBearer, Rena Matsui]
Generated description
Rena Matsui is a Japanese actress, singer, and former idol best known as a prominent member of the girl group SKE48 and for her subsequent work in television dramas and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rena Matsui Target entity description: Rena Matsui is a Japanese actress, singer, and former idol best known as a prominent member of the girl group SKE48 and for her subsequent work in television dramas and films.
-
A.
Yoriko Matsui
Yoriko Matsui is a Japanese individual notable enough to be recognized as a prominent bearer of the Matsui surname.
-
B.
Lisa Matsuda
Lisa Matsuda is a neuroscientist best known for identifying and characterizing the CB1 cannabinoid receptor, a key component of the endocannabinoid system in the brain.
-
C.
Mandy Taketa
Mandy Taketa is an American actress, dancer, and yoga instructor best known as the ex-wife of comedian and television host Wayne Brady.
-
D.
Sakiko Matsui
Sakiko Matsui is a Japanese singer and former member of the idol group AKB48.
-
E.
Eleanor Matsuura
Eleanor Matsuura is a British actress known for her work in television, film, and theatre, including prominent roles in series such as The Walking Dead and Sherlock.
- 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_69e5e8d6392881908fd33d340f3334e7 |
completed | April 20, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_69e5f1557e9c8190b53ce391793b2c7f |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f863bf7c81908969ed0a5b99f032 |
completed | April 20, 2026, 9:56 a.m. |
Created at: April 8, 2026, 9:34 p.m.