Triple
T8325518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoichiro Nambu |
E194941
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Nambu |
E194942
|
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: Nambu | Statement: [Yoichiro Nambu, familyName, Nambu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nambu Context triple: [Yoichiro Nambu, familyName, Nambu]
-
A.
Nambu
chosen
Nambu is a Japanese surname most notably associated with Nobel Prize–winning physicist Yoichiro Nambu.
-
B.
Yamabe
Yamabe was the personal name of Emperor Kanmu, a powerful Japanese emperor of the late 8th and early 9th centuries who moved the capital to Heian-kyō (Kyoto).
-
C.
Matsubara
Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
-
D.
Namba
Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
-
E.
Fujinami
Fujinami is a Japanese surname borne by various notable individuals, including professional athletes and entertainers.
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f7fba688190b696593dfb2cde5d |
completed | March 31, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95b22afc81909c867d83a1744139 |
completed | April 1, 2026, 10:01 p.m. |
Created at: March 30, 2026, 5:56 p.m.