Triple
T3352775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōkubo Toshimichi |
E70534
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ōkubo
Ōkubo is a Japanese surname most famously associated with Meiji-era statesman Ōkubo Toshimichi, one of the key architects of Japan’s modernization.
|
E472010
|
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: Ōkubo | Statement: [Ōkubo Toshimichi, familyName, Ōkubo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōkubo Context triple: [Ōkubo Toshimichi, familyName, Ōkubo]
-
A.
Okubo
Okubo is a neighborhood in Tokyo’s Shinjuku ward, known for its vibrant Korean district, diverse immigrant communities, and bustling nightlife.
-
B.
Mutaguchi
Mutaguchi Renya was a Japanese general in the Imperial Japanese Army best known for commanding the disastrous Imphal offensive during World War II.
-
C.
Takamado
Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
-
D.
Ushijima
Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
-
E.
Murayama
Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, 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: Ōkubo Triple: [Ōkubo Toshimichi, familyName, Ōkubo]
Generated description
Ōkubo is a Japanese surname most famously associated with Meiji-era statesman Ōkubo Toshimichi, one of the key architects of Japan’s modernization.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ōkubo Target entity description: Ōkubo is a Japanese surname most famously associated with Meiji-era statesman Ōkubo Toshimichi, one of the key architects of Japan’s modernization.
-
A.
Okubo
Okubo is a neighborhood in Tokyo’s Shinjuku ward, known for its vibrant Korean district, diverse immigrant communities, and bustling nightlife.
-
B.
Mutaguchi
Mutaguchi Renya was a Japanese general in the Imperial Japanese Army best known for commanding the disastrous Imphal offensive during World War II.
-
C.
Takamado
Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
-
D.
Ushijima
Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
-
E.
Murayama
Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb23ec53881908a04c7f784fe8c43 |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d59f188819093e3a6c7037593cf |
completed | March 21, 2026, 7:48 a.m. |
| NEDg | Description generation | batch_69be4e4d3d608190837c5808f2f17aa4 |
completed | March 21, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4f0d51ac819097636aaf2429f317 |
completed | March 21, 2026, 7:55 a.m. |
Created at: March 8, 2026, 3:13 p.m.