Triple
T14162156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Nori |
E350974
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kuroda |
E895380
|
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: Kuroda | Statement: [Princess Nori, familyName, Kuroda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuroda Context triple: [Princess Nori, familyName, Kuroda]
-
A.
Kuroda
chosen
Kuroda is a Japanese surname borne by various notable figures in politics, the arts, and other fields.
-
B.
Kiyokawa
Kiyokawa is a small rural village in Kanagawa Prefecture, Japan, known for its mountainous scenery and outdoor recreation.
-
C.
Yamashita
Yamashita is a Japanese surname most famously associated with General Tomoyuki Yamashita, a prominent Imperial Japanese Army commander during World War II.
-
D.
Takakichi
Takakichi is a Japanese given name, notably borne by Takakichi Aso, a member of the prominent Aso family involved in politics and business.
-
E.
Kondō
Kondō is the main Golden Hall of Tōshōdai-ji, a historic Buddhist temple in Nara, Japan, renowned for its classical architecture and important religious statues.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de613a4a2081908fd51bf4b4d82b6c |
completed | April 14, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe729a48288190bf24503af6522677 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 10, 2026, 12:59 a.m.