Triple
T14758967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noda |
E346804
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Junko Noda
Junko Noda is a Japanese voice actress and singer known for her roles in popular anime series and video games.
|
E1121046
|
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: Junko Noda | Statement: [Noda, hasNotableBearer, Junko Noda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Junko Noda Context triple: [Noda, hasNotableBearer, Junko Noda]
-
A.
Naoko Satō
Naoko Satō is a Japanese given name borne by various notable individuals, including figures in entertainment, sports, and the arts.
-
B.
Naoko Takeshita
Naoko Takeshita was the wife of former Japanese Prime Minister Noboru Takeshita and a member of a prominent political family in Japan.
-
C.
Akiko Takeshita
Akiko Takeshita is a Japanese actress known internationally for her supporting role in the film "Lost in Translation."
-
D.
Michiko Ishihara
Michiko Ishihara was the wife of renowned Japanese author Osamu Dazai and the mother of several of his children, known primarily for her connection to his turbulent personal life.
-
E.
Tanaka Makiko
Tanaka Makiko is a Japanese politician and former foreign minister known for her reformist stance and outspoken criticism of Japan’s political establishment.
- 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: Junko Noda Triple: [Noda, hasNotableBearer, Junko Noda]
Generated description
Junko Noda is a Japanese voice actress and singer known for her roles in popular anime series and video games.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Junko Noda Target entity description: Junko Noda is a Japanese voice actress and singer known for her roles in popular anime series and video games.
-
A.
Naoko Satō
Naoko Satō is a Japanese given name borne by various notable individuals, including figures in entertainment, sports, and the arts.
-
B.
Naoko Takeshita
Naoko Takeshita was the wife of former Japanese Prime Minister Noboru Takeshita and a member of a prominent political family in Japan.
-
C.
Akiko Takeshita
Akiko Takeshita is a Japanese actress known internationally for her supporting role in the film "Lost in Translation."
-
D.
Michiko Ishihara
Michiko Ishihara was the wife of renowned Japanese author Osamu Dazai and the mother of several of his children, known primarily for her connection to his turbulent personal life.
-
E.
Tanaka Makiko
Tanaka Makiko is a Japanese politician and former foreign minister known for her reformist stance and outspoken criticism of Japan’s political establishment.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24afff788190ab4925ead7ce90d2 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe263024e88190b2e838ff772c27c7 |
completed | May 8, 2026, 6:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe267da8c8819094c8e9c8eef3c79c |
completed | May 8, 2026, 6:07 p.m. |
Created at: April 10, 2026, 1:30 a.m.