Triple
T2150945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shibasaburo Kitasato |
E47178
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kitasato
Kitasato is a Japanese surname most notably associated with pioneering bacteriologist Shibasaburo Kitasato.
|
E243464
|
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: Kitasato | Statement: [Shibasaburo Kitasato, familyName, Kitasato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitasato Context triple: [Shibasaburo Kitasato, familyName, Kitasato]
-
A.
Tanaka
Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
-
B.
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.
-
C.
Satō
Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
-
D.
Yamamoto
Yamamoto is a Japanese surname most famously associated with Admiral Isoroku Yamamoto, the commander-in-chief of the Imperial Japanese Navy during World War II.
-
E.
Nishiwaki
Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
- 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: Kitasato Triple: [Shibasaburo Kitasato, familyName, Kitasato]
Generated description
Kitasato is a Japanese surname most notably associated with pioneering bacteriologist Shibasaburo Kitasato.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kitasato Target entity description: Kitasato is a Japanese surname most notably associated with pioneering bacteriologist Shibasaburo Kitasato.
-
A.
Tanaka
Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
-
B.
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.
-
C.
Satō
Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
-
D.
Yamamoto
Yamamoto is a Japanese surname most famously associated with Admiral Isoroku Yamamoto, the commander-in-chief of the Imperial Japanese Navy during World War II.
-
E.
Nishiwaki
Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe4747a0819080e2234f3ea8995f |
completed | March 7, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d940bec8190998ef88ed44e5811 |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae615a4ccc8190845b952892fe647a |
completed | March 9, 2026, 5:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae61aab87c8190bb81b475f3a038f8 |
completed | March 9, 2026, 5:59 a.m. |
Created at: March 4, 2026, 7:44 p.m.