Triple
T6735467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanaka |
E153742
|
entity |
| Predicate | hasNotablePerson |
P304
|
FINISHED |
| Object |
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.
|
E658949
|
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: Tanaka Makiko | Statement: [Tanaka, hasNotablePerson, Tanaka Makiko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanaka Makiko Context triple: [Tanaka, hasNotablePerson, Tanaka Makiko]
-
A.
Naoko Takeshita
Naoko Takeshita was the wife of former Japanese Prime Minister Noboru Takeshita and a member of a prominent political family in Japan.
-
B.
Akiko Takeshita
Akiko Takeshita is a Japanese actress known internationally for her supporting role in the film "Lost in Translation."
-
C.
Ikeda Tomoko
Ikeda Tomoko is a Japanese individual notable enough to be specifically cited as a bearer of the surname Ikeda.
-
D.
Chikako Shimazu
Chikako Shimazu was a Japanese noblewoman of the influential Shimazu family and the mother of Empress Kōjun, consort of Emperor Shōwa (Hirohito).
-
E.
Naoko Satō
Naoko Satō is a Japanese given name borne by various notable individuals, including figures in entertainment, sports, and the arts.
- 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: Tanaka Makiko Triple: [Tanaka, hasNotablePerson, Tanaka Makiko]
Generated description
Tanaka Makiko is a Japanese politician and former foreign minister known for her reformist stance and outspoken criticism of Japan’s political establishment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanaka Makiko Target entity description: Tanaka Makiko is a Japanese politician and former foreign minister known for her reformist stance and outspoken criticism of Japan’s political establishment.
-
A.
Naoko Takeshita
Naoko Takeshita was the wife of former Japanese Prime Minister Noboru Takeshita and a member of a prominent political family in Japan.
-
B.
Akiko Takeshita
Akiko Takeshita is a Japanese actress known internationally for her supporting role in the film "Lost in Translation."
-
C.
Ikeda Tomoko
Ikeda Tomoko is a Japanese individual notable enough to be specifically cited as a bearer of the surname Ikeda.
-
D.
Chikako Shimazu
Chikako Shimazu was a Japanese noblewoman of the influential Shimazu family and the mother of Empress Kōjun, consort of Emperor Shōwa (Hirohito).
-
E.
Naoko Satō
Naoko Satō is a Japanese given name borne by various notable individuals, including figures in entertainment, sports, and the arts.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16ecbe08190b019d547f631a725 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa57aa9c819081d4ec62bf18d971 |
completed | March 28, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69c7fbafa2a08190bcfc407d1a6c0d2b |
completed | March 28, 2026, 4:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fc14691481909d8d029c5c42cd14 |
completed | March 28, 2026, 4:04 p.m. |
Created at: March 27, 2026, 2:09 p.m.