Triple
T17362632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Suzaku |
E422105
|
entity |
| Predicate | personalName |
P24312
|
FINISHED |
| Object | Yutaakira |
E1467430
|
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: Yutaakira | Statement: [Emperor Suzaku, personalName, Yutaakira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yutaakira Context triple: [Emperor Suzaku, personalName, Yutaakira]
-
A.
Yutaakira
chosen
Yutaakira was the personal name of Emperor Suzaku, a 10th-century Japanese emperor of the Heian period.
-
B.
Yugiri
Yugiri was an Imperial Japanese Navy destroyer that served in World War II, notably operating in the Pacific theater before being sunk in late 1943.
-
C.
Yūgiri
Yūgiri is a prominent character in The Tale of Genji, known as the dutiful and steady son of Hikaru Genji who contrasts with his father's romantic excesses.
-
D.
Yutenji
Yutenji is a residential neighborhood in Tokyo’s Meguro Ward known for its historic Yutenji Temple and local shopping streets.
-
E.
Yahata
Yahata was a former city in Fukuoka Prefecture, Japan, that became part of the larger city of Kitakyushu through municipal merger.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4e3c3481909dfaa00334c5010e |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a096da3b8e88190bae1daccb216d35a |
completed | May 17, 2026, 7:26 a.m. |
Created at: April 10, 2026, 5:44 a.m.