Triple
T13622063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinya Yamanaka |
E325480
|
entity |
| Predicate | sharesSurnameWith |
P13741
|
FINISHED |
| Object | Yamanaka |
E325480
|
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: Yamanaka | Statement: [Shinya Yamanaka, sharesSurnameWith, Yamanaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yamanaka Context triple: [Shinya Yamanaka, sharesSurnameWith, Yamanaka]
-
A.
Yamanaka
chosen
Yamanaka is a Japanese surname most prominently associated with Nobel Prize–winning stem cell researcher Shinya Yamanaka.
-
B.
Kashiba
Kashiba is a city in Japan known for its residential communities and location in the northwestern part of Nara Prefecture, near the Osaka metropolitan area.
-
C.
Kawamata
Kawamata is a small town in Fukushima Prefecture, Japan, known for its traditional silk production and rural landscapes.
-
D.
Norikura
Norikura is a ski resort area in Japan’s Hakuba Valley, known for its scenic alpine terrain and winter sports opportunities.
-
E.
Yamanakako
Yamanakako is a village in Yamanashi Prefecture, Japan, known for Lake Yamanaka, one of the Fuji Five Lakes located near Mount Fuji.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe99ddc08190a8d79107c8e176fa |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ae7d6908190836172e955b0d7e8 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:50 p.m.