Triple
T4576642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 畑俊六 |
E123153
|
entity |
| Predicate | 卒業期_陸軍士官学校 |
P58082
|
FINISHED |
| Object | 第13期 |
—
|
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: 第13期 | Statement: [畑俊六, 卒業期_陸軍士官学校, 第13期]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 卒業期_陸軍士官学校 Context triple: [畑俊六, 卒業期_陸軍士官学校, 第13期]
-
A.
containsMilitaryAcademy
Indicates that one entity includes or hosts a military academy within its boundaries or domain.
-
B.
graduation
Indicates that an entity has successfully completed an educational program and received a corresponding degree or qualification.
-
C.
matriculationYear
Indicates the calendar year in which an individual formally enrolled or was admitted into an educational program or institution.
-
D.
institutionOfDefense
Indicates that an entity functions as an organization responsible for defense or military protection within a given jurisdiction or context.
-
E.
graduationYearFromRADA
Indicates the year in which an entity completed their studies and officially graduated from RADA (the Royal Academy of Dramatic Art).
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69bd56b4a9508190acdb888eef18f1ee |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:10 p.m.