Triple
T9161041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodama |
E219821
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kodama Akira
Kodama Akira is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kodama.
|
E848516
|
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: Kodama Akira | Statement: [Kodama, hasNotableBearer, Kodama Akira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kodama Akira Context triple: [Kodama, hasNotableBearer, Kodama Akira]
-
A.
Kodama Kyūichi
Kodama Kyūichi was a Japanese politician and bureaucrat who served in several high-ranking government and administrative posts in the early 20th century.
-
B.
Kodama Tetsuya
Kodama Tetsuya is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kodama.
-
C.
Kodama Kiyoshi
Kodama Kiyoshi is a Japanese individual notable for bearing the surname Kodama, though specific widely recognized biographical details about him are not well documented in major English-language sources.
-
D.
Akira Mutō
Akira Mutō was a Japanese Imperial Army general during World War II who was convicted as a Class A war criminal for his role in atrocities committed by Japanese forces.
-
E.
Kiyoshi Nobori
Kiyoshi Nobori is an entrepreneur best known as the founder of the sports equipment company Molten.
- 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: Kodama Akira Triple: [Kodama, hasNotableBearer, Kodama Akira]
Generated description
Kodama Akira is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kodama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kodama Akira Target entity description: Kodama Akira is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kodama.
-
A.
Kodama Kyūichi
Kodama Kyūichi was a Japanese politician and bureaucrat who served in several high-ranking government and administrative posts in the early 20th century.
-
B.
Kodama Tetsuya
Kodama Tetsuya is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kodama.
-
C.
Kodama Kiyoshi
Kodama Kiyoshi is a Japanese individual notable for bearing the surname Kodama, though specific widely recognized biographical details about him are not well documented in major English-language sources.
-
D.
Akira Mutō
Akira Mutō was a Japanese Imperial Army general during World War II who was convicted as a Class A war criminal for his role in atrocities committed by Japanese forces.
-
E.
Kiyoshi Nobori
Kiyoshi Nobori is an entrepreneur best known as the founder of the sports equipment company Molten.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2ac0508190b2f5c801c2c26d66 |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d369226a28819088b14cbc4cb78e57 |
completed | April 6, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69d36a006da48190b98b325b7dc24caa |
completed | April 6, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d36a5343588190923c3fe62368cd0a |
completed | April 6, 2026, 8:09 a.m. |
Created at: March 30, 2026, 7:21 p.m.