Triple
T2222855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masayoshi Ōhira |
E48180
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Masayoshi |
E263330
|
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: Masayoshi | Statement: [Masayoshi Ōhira, givenName, Masayoshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masayoshi Context triple: [Masayoshi Ōhira, givenName, Masayoshi]
-
A.
Masayoshi
chosen
Masayoshi is a Japanese given name most famously borne by billionaire entrepreneur and SoftBank Group founder Masayoshi Son.
-
B.
Masahito
Masahito is the personal name of Prince Hitachi, a member of the Japanese imperial family and younger brother of Emperor Emeritus Akihito.
-
C.
Koji Sato
Koji Sato is a Japanese automotive executive who serves as the president and CEO of Toyota Motor Corporation.
-
D.
Yasuhiro
Yasuhiro is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
-
E.
Toshihide
Toshihide is a Japanese given name most notably borne by Nobel Prize–winning theoretical physicist Toshihide Maskawa.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03d1df88190950c691a4c246bd1 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b333f7b3848190bcef4a06a2b94dd1 |
completed | March 12, 2026, 9:45 p.m. |
Created at: March 4, 2026, 7:47 p.m.