Triple
T22785629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Japan |
E563957
|
entity |
| Predicate | typicalMaritalRelation |
P145908
|
FINISHED |
| Object | wife of the sitting Prime Minister of Japan |
—
|
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: wife of the sitting Prime Minister of Japan | Statement: [First Lady of Japan, typicalMaritalRelation, wife of the sitting Prime Minister of Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMaritalRelation Context triple: [First Lady of Japan, typicalMaritalRelation, wife of the sitting Prime Minister of Japan]
-
A.
maritalRelations
Indicates a legally or socially recognized spousal relationship or marriage-based connection between two entities.
-
B.
relationshipToSpouse
chosen
Indicates the specific familial or social role one person holds in relation to their spouse (e.g., husband, wife, partner).
-
C.
hasMaritalRelationshipType
Indicates the specific type or nature of the marital relationship that exists between two entities.
-
D.
spouseType
Indicates the specific role or category of a person within a spousal relationship (e.g., husband, wife, partner).
-
E.
spouseOfType
Indicates that one entity is the spouse of another, specifying the type or role of that spousal relationship.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c30b4dc8190a5e23f4ce7feb300 |
completed | April 29, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:29 p.m.