Triple
T15901196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enomoto Takeaki |
E385591
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Enomoto |
E385591
|
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: Enomoto | Statement: [Enomoto Takeaki, familyName, Enomoto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enomoto Context triple: [Enomoto Takeaki, familyName, Enomoto]
-
A.
Tadaoka
Tadaoka is a small coastal town in Osaka Prefecture, Japan, known for being one of the smallest municipalities in the country by area.
-
B.
Enomoto Takeaki
chosen
Enomoto Takeaki was a Japanese naval officer and statesman who led the Tokugawa navy during the Meiji Restoration and later served in high government posts under the new imperial regime.
-
C.
Katō
Katō is a Japanese surname borne by numerous notable figures in politics, the military, arts, and sports.
-
D.
Nagao
Nagao is a Japanese samurai clan name historically associated with the powerful warlord Uesugi Kenshin during the Sengoku period.
-
E.
Sumoto
Sumoto is a coastal city located on Awaji Island in Japan, known for its hot springs, scenic views of the Seto Inland Sea, and citrus production.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563db01081908dd94a2536ef2107 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe46b06688190a02fee3700efd709 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:52 a.m.