Triple
T11840778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kūkai |
E281645
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kobo Daishi |
E75515
|
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: Kobo Daishi | Statement: [Kūkai, name, Kobo Daishi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kobo Daishi Context triple: [Kūkai, name, Kobo Daishi]
-
A.
Kobo Daishi
chosen
Kobo Daishi, also known as Kukai, was a Japanese Buddhist monk, scholar, and founder of the Shingon school of esoteric Buddhism who became one of Japan’s most revered religious figures.
-
B.
Kaku Tomeo
Kaku Tomeo was an Imperial Japanese Navy officer best known for commanding the aircraft carrier Hiryū during World War II, including at the Battle of Midway.
-
C.
Kōtaigō Shōken
Kōtaigō Shōken is the posthumous title of Empress Haruko, the consort of Emperor Meiji and Japan’s first modern empress.
-
D.
Chōkai
Chōkai was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in World War II, including major Pacific naval battles.
-
E.
Tokiwa Gozen
Tokiwa Gozen was a famed beauty and noblewoman of late Heian-period Japan, celebrated in legend for her courage and sacrifice during the Genpei War era.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1678668ac81909bddf67e8c176757 |
completed | April 29, 2026, 2:05 a.m. |
Created at: April 8, 2026, 9:43 p.m.