Triple
T15200485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 浅沼稲次郎 |
E363253
|
entity |
| Predicate | 暗殺時の行為 |
P82208
|
FINISHED |
| Object | 日米安保条約反対を訴える演説中だった |
—
|
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: 日米安保条約反対を訴える演説中だった | Statement: [浅沼稲次郎, 暗殺時の行為, 日米安保条約反対を訴える演説中だった]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 暗殺時の行為 Context triple: [浅沼稲次郎, 暗殺時の行為, 日米安保条約反対を訴える演説中だった]
-
A.
assassinationEvent
chosen
Indicates a deliberate killing of a specific individual, typically for political or strategic reasons, carried out as a planned event.
-
B.
assassinated
Indicates that one entity deliberately killed another, typically for political, ideological, or strategic reasons.
-
C.
typeOfKilling
Indicates a specific manner, method, or category of killing that characterizes how the killing was carried out.
-
D.
assassinatedIn
Indicates that an assassination of one entity occurred within the specified location or context represented by another entity.
-
E.
ordersAssassinationOf
Indicates that one entity commands or arranges for another entity to be killed, typically through a hired or subordinate agent.
- 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.