Triple
T4576632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 畑俊六 |
E123153
|
entity |
| Predicate | 在任期間_陸軍大臣 |
P17403
|
FINISHED |
| Object | 1944-07-22/1945-04-07 |
—
|
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: 1944-07-22/1945-04-07 | Statement: [畑俊六, 在任期間_陸軍大臣, 1944-07-22/1945-04-07]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 在任期間_陸軍大臣 Context triple: [畑俊六, 在任期間_陸軍大臣, 1944-07-22/1945-04-07]
-
A.
termInOffice
chosen
Indicates the period during which an individual officially holds a particular office or position.
-
B.
presidentDuringDefenseSecretaryTenure
Indicates that the subject person was the president of a country during the time period in which the object person served as that country’s defense secretary.
-
C.
termStartAsMinisterGeneral
Indicates the date or point in time when an individual begins serving in the role of Minister General.
-
D.
militaryServicePeriod
Indicates the span of time during which an entity serves or has served in a military capacity.
-
E.
conscriptionTerm
Indicates the length or duration of mandatory military service imposed on individuals.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58e153908190ac8f578e03aecdfc |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5228b70c8190ac48705e35a710c1 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:10 p.m.