Triple
T6946957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyotomi clan |
E160821
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Yodo-dono |
E210304
|
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: Yodo-dono | Statement: [Toyotomi clan, notableMember, Yodo-dono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yodo-dono Context triple: [Toyotomi clan, notableMember, Yodo-dono]
-
A.
Yodo-dono
chosen
Yodo-dono was a prominent Japanese noblewoman and political figure of the late Sengoku period, best known as Toyotomi Hideyoshi’s consort and the mother of his heir, Toyotomi Hideyori.
-
B.
Kunitachi
Kunitachi is a suburban city in western Tokyo, Japan, known for its universities, tree-lined avenues, and residential character.
-
C.
Yamabiko
Yamabiko is a high-speed Shinkansen train service in Japan that operates on the Tōhoku Shinkansen line, connecting Tokyo with northern regions such as Sendai.
-
D.
Tsubami
Tsubami is one of the official bird mascots of the Tokyo Yakult Swallows baseball team, known for her cute design and energetic support of the club.
-
E.
Masaru
Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da8beb408190b5c87a354c614cf2 |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c769fd908c81908d92ff4cd79b76c0 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:28 p.m.