Triple
T1336075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akinobu Okada |
E28751
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Akinobu
Akinobu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable individuals.
|
E199266
|
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: Akinobu | Statement: [Akinobu Okada, givenName, Akinobu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akinobu Context triple: [Akinobu Okada, givenName, Akinobu]
-
A.
Masahito
Masahito is the personal name of Prince Hitachi, a member of the Japanese imperial family and younger brother of Emperor Emeritus Akihito.
-
B.
Yasuhiro
Yasuhiro is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
-
C.
Masayuki
Masayuki is a Japanese given name commonly used for males.
-
D.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
-
E.
Takuma Tono
Takuma Tono was a Japanese landscape architect known for bringing traditional Japanese garden design to international prominence, including in the United States.
- 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: Akinobu Triple: [Akinobu Okada, givenName, Akinobu]
Generated description
Akinobu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable individuals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akinobu Target entity description: Akinobu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable individuals.
-
A.
Masahito
Masahito is the personal name of Prince Hitachi, a member of the Japanese imperial family and younger brother of Emperor Emeritus Akihito.
-
B.
Yasuhiro
Yasuhiro is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
-
C.
Masayuki
Masayuki is a Japanese given name commonly used for males.
-
D.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
-
E.
Takuma Tono
Takuma Tono was a Japanese landscape architect known for bringing traditional Japanese garden design to international prominence, including in the United States.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1ecb5208190a9eadda113c91e66 |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada95d71888190aa49a3011ea2a1bc |
completed | March 8, 2026, 4:52 p.m. |
| NEDg | Description generation | batch_69adae972d1081909cd13e8220c3ccc6 |
completed | March 8, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adaf9d042481909dbd54d9e04e444e |
completed | March 8, 2026, 5:19 p.m. |
Created at: March 1, 2026, 7:55 p.m.