Triple
T14964803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mori Arinori |
E373162
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Arinori |
E373162
|
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: Arinori | Statement: [Mori Arinori, givenName, Arinori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arinori Context triple: [Mori Arinori, givenName, Arinori]
-
A.
Arinori
chosen
Arinori was a given name of Mori Arinori, a prominent Meiji-era Japanese statesman and reformer known for modernizing Japan’s education system.
-
B.
Seishirō
Seishirō is a Japanese given name commonly used for male individuals.
-
C.
Kyōgoku
Kyōgoku is a small town in Hokkaido, Japan, known for its natural springs and scenic views of Mount Yotei.
-
D.
Yorinaga
Yorinaga is a Japanese given name most notably borne by the Heian-period court noble Fujiwara no Yorinaga.
-
E.
Takayoshi
Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6d0487c8190b7754af8c5014b37 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b3216fc8190b79740a993b98cb3 |
completed | May 9, 2026, 10:23 a.m. |
Created at: April 10, 2026, 2:46 a.m.