Triple
T8052602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reona Esaki |
E187710
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Reona |
E187710
|
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: Reona | Statement: [Reona Esaki, givenName, Reona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reona Context triple: [Reona Esaki, givenName, Reona]
-
A.
Reona
chosen
Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
-
B.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
C.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
D.
Nozomi
Nozomi is the fastest and most premium Shinkansen (bullet train) service operating on Japan’s Tokaido and Sanyo lines, known for its high speed and frequent departures between major cities like Tokyo and Osaka.
-
E.
Renya
Renya Mutaguchi was a Japanese general best known for commanding the ill-fated Imphal campaign in Burma during World War II.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f7c425c8190aa1b2f534afeb58c |
completed | March 31, 2026, 3:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd946a5e188190b2ef0a07a885ade7 |
completed | April 1, 2026, 9:55 p.m. |
Created at: March 30, 2026, 5:25 p.m.