Triple
T10236008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shibasaburo Kitasato |
E243464
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Shibasaburo |
E238738
|
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: Shibasaburo | Statement: [Shibasaburo Kitasato, givenName, Shibasaburo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shibasaburo Context triple: [Shibasaburo Kitasato, givenName, Shibasaburo]
-
A.
Shibasaburo
chosen
Shibasaburo is a Japanese given name most famously borne by the pioneering bacteriologist Shibasaburo Kitasato, a co-discoverer of the plague bacillus.
-
B.
Seikichi
Seikichi is a Japanese given name commonly used for males.
-
C.
Fusakichi Omori
Fusakichi Omori was a pioneering Japanese seismologist known for formulating Omori's law, which describes the decay rate of aftershocks following an earthquake.
-
D.
Kiyoshi Shiga
Kiyoshi Shiga was a Japanese bacteriologist best known for discovering the dysentery-causing bacterium Shigella dysenteriae, which is named after him.
-
E.
Gisiro Maruyama
Gisiro Maruyama was a Japanese mathematician known for his foundational contributions to the theory and numerical analysis of stochastic differential equations.
- 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_69d71c9c6524819094d42e948c96207e |
completed | April 9, 2026, 3:27 a.m. |
Created at: April 6, 2026, 11:22 a.m.