Triple
T15200503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 浅沼稲次郎 |
E363253
|
entity |
| Predicate | 記憶される文脈 |
P65341
|
FINISHED |
| Object | 政治的暴力と民主主義の問題 |
—
|
LITERAL 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: 政治的暴力と民主主義の問題 | Statement: [浅沼稲次郎, 記憶される文脈, 政治的暴力と民主主義の問題]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 記憶される文脈 Context triple: [浅沼稲次郎, 記憶される文脈, 政治的暴力と民主主義の問題]
-
A.
rememberedThrough
chosen
Indicates that one entity is remembered, commemorated, or kept in memory by means of, or through the influence of, another entity or medium.
-
B.
memorizedBy
Indicates that some content, information, or material has been learned and retained in memory by a particular entity.
-
C.
rememberedFor
Indicates that one entity is known or recognized primarily because of, or in association with, another entity or achievement.
-
D.
memorability
Indicates how likely something is to be easily remembered or retained in memory by someone.
-
E.
memory
Indicates that an entity retains, recalls, or is associated with stored information or past experiences.
- F. None of above.
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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b588b88190a88e91d521acbdfe |
completed | April 15, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:10 a.m.