Triple
T20515092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ugayafukiaezu no Mikoto |
E503664
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Hoori |
—
|
NE NERFINISHED |
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: Hoori | Statement: [Ugayafukiaezu no Mikoto, parent, Hoori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoori Context triple: [Ugayafukiaezu no Mikoto, parent, Hoori]
-
A.
Hoori
chosen
Hoori is a deity in Japanese mythology, known as a divine hunter and ancestor of Japan’s imperial line.
-
B.
Hizaori
Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
-
C.
Hodori
Hodori is the friendly tiger character that served as the official mascot of the 1988 Seoul Olympic Games, symbolizing Korean hospitality and culture.
-
D.
Hana-ogi
Hana-ogi is a central Japanese geisha character in the novel and film "Sayonara," whose relationship with an American airman highlights themes of cross-cultural romance and postwar social tensions.
-
E.
Yōrō
Yōrō was a Japanese era of the Nara period, noted for administrative reforms and cultural development under imperial rule.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f4133048190abb777be4b65c2c4 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.