Triple
T4084237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fumihito |
E87550
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Fumihito |
E87550
|
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: Fumihito | Statement: [Fumihito, givenName, Fumihito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fumihito Context triple: [Fumihito, givenName, Fumihito]
-
A.
Fumihito
chosen
Fumihito is the Crown Prince of Japan and younger son of Emperor Emeritus Akihito, serving as first in line to the Chrysanthemum Throne.
-
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.
Hirofumi
Hirofumi is a Japanese given name commonly borne by men, including notable contemporary politicians.
-
D.
Shinpei
Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
-
E.
Taisuke
Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7a4b488190ab466e2c50329ab3 |
completed | March 9, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bb60e9709881909673b8980694902b |
completed | March 19, 2026, 2:35 a.m. |
Created at: March 9, 2026, 3:39 p.m.