Triple
T17116088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuniaki |
E415342
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kuniaki Koiso
Kuniaki Koiso was a Japanese general and politician who served as Prime Minister of Japan during World War II from 1944 to 1945.
|
E1259135
|
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: Kuniaki Koiso | Statement: [Kuniaki, hasNotableBearer, Kuniaki Koiso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuniaki Koiso Context triple: [Kuniaki, hasNotableBearer, Kuniaki Koiso]
-
A.
Akira Satō
Akira Satō is a Japanese personal name shared by multiple notable individuals across fields such as politics, sports, and the arts.
-
B.
Takeshita Hiroshi
Takeshita Hiroshi is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Takeshita.
-
C.
Noboru Takeshita
Noboru Takeshita was a Japanese politician who served as Prime Minister in the late 1980s and was a key power broker within the Liberal Democratic Party.
-
D.
Masakazu Nakasone
Masakazu Nakasone is a Japanese politician who serves as the mayor of the city of Uruma in Okinawa Prefecture.
-
E.
Yasutaka Nakasone
Yasutaka Nakasone is a Japanese politician and member of the prominent Nakasone political family.
- 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: Kuniaki Koiso Triple: [Kuniaki, hasNotableBearer, Kuniaki Koiso]
Generated description
Kuniaki Koiso was a Japanese general and politician who served as Prime Minister of Japan during World War II from 1944 to 1945.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuniaki Koiso Target entity description: Kuniaki Koiso was a Japanese general and politician who served as Prime Minister of Japan during World War II from 1944 to 1945.
-
A.
Akira Satō
Akira Satō is a Japanese personal name shared by multiple notable individuals across fields such as politics, sports, and the arts.
-
B.
Takeshita Hiroshi
Takeshita Hiroshi is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Takeshita.
-
C.
Noboru Takeshita
Noboru Takeshita was a Japanese politician who served as Prime Minister in the late 1980s and was a key power broker within the Liberal Democratic Party.
-
D.
Masakazu Nakasone
Masakazu Nakasone is a Japanese politician who serves as the mayor of the city of Uruma in Okinawa Prefecture.
-
E.
Yasutaka Nakasone
Yasutaka Nakasone is a Japanese politician and member of the prominent Nakasone political family.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80660048190832d8f91415dd7d7 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170e153808190b2a253f64da87737 |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a01726ae14081909d11434e378d3e1c |
completed | May 11, 2026, 6:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017525d8108190b2fff7d96beff345 |
completed | May 11, 2026, 6:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.