Triple
T19532528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 山本五十六 |
E488689
|
entity |
| Predicate | 発言 |
P122099
|
FINISHED |
| Object | 「半年や一年は暴れてご覧に入れるが、その先のことは保証できぬ」 |
—
|
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: 「半年や一年は暴れてご覧に入れるが、その先のことは保証できぬ」 | Statement: [山本五十六, 発言, 「半年や一年は暴れてご覧に入れるが、その先のことは保証できぬ」]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 発言 Context triple: [山本五十六, 発言, 「半年や一年は暴れてご覧に入れるが、その先のことは保証できぬ」]
-
A.
givesSpeechOn
Indicates that one entity delivers or presents a speech whose topic or subject matter concerns another entity.
-
B.
spokeWords
chosen
Indicates that one entity verbally expressed specific words to another entity or audience.
-
C.
speechAct
Indicates that one entity performs a communicative action (such as stating, asking, commanding, or promising) directed toward another entity or audience.
-
D.
givesSpeechIn
Indicates that an entity delivers or presents a speech within a particular location, event, or context.
-
E.
publicStatements
Indicates that one entity makes official or public verbal or written declarations about another entity or topic.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6364091f4819088b27d0ffdf6010d |
completed | April 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.