Triple
T19484433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nandikeshvara |
E487472
|
entity |
| Predicate | consort |
P13
|
FINISHED |
| Object | Suyasha |
—
|
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: Suyasha | Statement: [Nandikeshvara, consort, Suyasha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suyasha Context triple: [Nandikeshvara, consort, Suyasha]
-
A.
Suyasha
chosen
Suyasha is a figure from Hindu tradition known primarily as the consort of Nandi, the divine bull and devoted attendant of Lord Shiva.
-
B.
Yuzuriha
Yuzuriha is an evergreen tree commonly used in Japan as a symbolic plant, notably serving as the official tree emblem of Kōchi Prefecture.
-
C.
Mai Shiranui
Mai Shiranui is a popular and iconic kunoichi (female ninja) character from SNK’s fighting games, known for her revealing outfit, agile fighting style, and fiery fan-based attacks.
-
D.
Sasami Masaki Jurai
Sasami Masaki Jurai is a cheerful young princess from the planet Jurai in the Tenchi Muyo! series, known for her cooking skills, kind nature, and mysterious connection to the powerful entity Tsunami.
-
E.
Yoriko
Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6343dcc748190b0df816e6ab4cafb |
completed | April 20, 2026, 2:12 p.m. |
Created at: April 10, 2026, 1:39 p.m.