Triple
T8090571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yukio Mishima |
E188846
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Spring Snow |
E711395
|
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: Spring Snow | Statement: [Yukio Mishima, wrote, Spring Snow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spring Snow Context triple: [Yukio Mishima, wrote, Spring Snow]
-
A.
Spring Snow
chosen
Spring Snow is a 1969 novel by Japanese author Yukio Mishima, the first volume of his Sea of Fertility tetralogy, exploring doomed love and the decline of Japan’s aristocracy in the early 20th century.
-
B.
Ice Flower
Ice Flower is a recurring power-up in the Mario series that lets characters throw ice balls to freeze enemies into blocks.
-
C.
Snowfall
Snowfall is an American crime drama television series that explores the early days of the crack cocaine epidemic in 1980s Los Angeles.
-
D.
Thunder Snow
Thunder Snow is a prominent Irish-bred Thoroughbred racehorse best known for winning back-to-back Dubai World Cups in 2018 and 2019.
-
E.
Snowbreed
Snowbreed are feral, zombie-like creatures that serve as the primary enemies in the VR co-op shooter game "After the Fall."
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421fb8348190b6495394d498d3f4 |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93ff6a108190ac60218ec2716c60 |
completed | April 1, 2026, 3:41 a.m. |
Created at: March 30, 2026, 5:29 p.m.