Triple
T27476813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 三木武夫 |
E693484
|
entity |
| Predicate | 関与した事件・出来事 |
P74692
|
FINISHED |
| Object | ロッキード事件への対応 |
—
|
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: ロッキード事件への対応 | Statement: [三木武夫, 関与した事件・出来事, ロッキード事件への対応]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関与した事件・出来事 Context triple: [三木武夫, 関与した事件・出来事, ロッキード事件への対応]
-
A.
関連事件
Indicates a relationship where one event is connected or related to another event, typically as part of the same case, incident, or context.
-
B.
関係する国際的出来事
Indicates a relationship where something is connected to, involved in, or affected by an international event.
-
C.
significantEventInvolves
Indicates that a significant event includes or engages a particular entity as a participant or key element.
-
D.
relativeInvolvedInEvent
Indicates that a person’s relative participates in, is affected by, or is otherwise involved in a particular event.
-
E.
hasBeenInvolvedIn
chosen
Indicates that an entity has participated in, taken part in, or been connected to a particular event, activity, or situation.
- 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_69ef5381f2648190a2392d0fab833095 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62e451dd08190b9cbe3a9a2a4ffa6 |
completed | May 2, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:57 p.m.