Triple
T19596590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Lucky Gods |
E470363
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Bishamonten |
—
|
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: Bishamonten | Statement: [Seven Lucky Gods, member, Bishamonten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bishamonten Context triple: [Seven Lucky Gods, member, Bishamonten]
-
A.
Bishamonten
chosen
Bishamonten is a Japanese Buddhist deity of war and warriors, revered as a protector of righteous fighters and bringer of good fortune.
-
B.
Fudō Myōō
Fudō Myōō is a wrathful Buddhist deity and protector figure, especially revered in Japanese esoteric traditions for subduing obstacles and guiding practitioners toward enlightenment.
-
C.
Tenjin-sama
Tenjin-sama is the deified spirit of Sugawara no Michizane, revered in Japan as a powerful kami of scholarship, learning, and poetry.
-
D.
Zaō Gongen
Zaō Gongen is a syncretic mountain deity in Japanese religion, revered in Shugendō as a fierce protector and manifestation of multiple Buddhist and Shintō divinities.
-
E.
Oni Gozen
Oni Gozen is a semi-legendary Japanese noblewoman best known as the mother of the famed Sengoku-period warlord Takeda Shingen.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407b997881909762c8f919c9cdad |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.