Triple
T10236007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shibasaburo Kitasato |
E243464
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kitasato |
E243464
|
NE FINISHED |
How this triple was built (2 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.
Kitasato
chosen
Kitasato is a Japanese surname most notably associated with pioneering bacteriologist Shibasaburo Kitasato.
-
B.
Tanaka
Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
-
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.
Hiratsuka
Hiratsuka is a coastal city in Kanagawa Prefecture, Japan, known for its beaches, manufacturing industry, and the annual Tanabata Festival.
-
E.
Sumio
Sumio is a Japanese physicist best known for his pioneering discovery and characterization of carbon nanotubes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d20de15c8190a81f3e9803fdfcd1 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f762732481909246dcb768074643 |
completed | April 9, 2026, 12:48 a.m. |
Created at: April 6, 2026, 11:22 a.m.