Triple
T17319963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 東條 和子 |
E420532
|
entity |
| Predicate | 家族関係 |
P28764
|
FINISHED |
| Object | 東條 英機の子供 |
—
|
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: 東條 英機の子供 | Statement: [東條 和子, 家族関係, 東條 英機の子供]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 家族関係 Context triple: [東條 和子, 家族関係, 東條 英機の子供]
-
A.
interFamilyRelations
Indicates relationships or interactions that occur between different families or family units.
-
B.
familyConnectionTo
Indicates a familial relationship or bond that exists between two entities, such as by blood, marriage, or adoption.
-
C.
familyOf
chosen
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
-
D.
familyAspect
Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
-
E.
familyAlliance
Indicates a cooperative or supportive relationship formed between families, often involving mutual obligations, shared interests, or joint actions.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439a066b481908e8aee1885809eba |
completed | April 19, 2026, 2:10 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:43 a.m.