Triple
T1575975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taro |
E33651
|
entity |
| Predicate | exampleCompositeName |
P30731
|
FINISHED |
| Object | Shintarō |
E201810
|
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: Shintarō | Statement: [Taro, exampleCompositeName, Shintarō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shintarō Context triple: [Taro, exampleCompositeName, Shintarō]
-
A.
Shintaro
chosen
Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
-
B.
Yasuhiro
Yasuhiro is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
-
C.
Kentarō
Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
-
D.
Kodama Gentarō
Kodama Gentarō was a Japanese general and statesman who served as Governor-General of Taiwan, playing a key role in establishing Japanese colonial administration there in the late 19th and early 20th centuries.
-
E.
Seiji
Seiji is a Japanese given name most famously associated with the renowned conductor Seiji Ozawa.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61ddc9908190a4afca1c24400817 |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7ed1080081909a931e4d045edd83 |
completed | March 9, 2026, 8:03 a.m. |
Created at: March 4, 2026, 7:27 p.m.