Triple
T10529732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 福田康夫 |
E248404
|
entity |
| Predicate | 生存状況 |
P15588
|
FINISHED |
| Object | 存命人物 |
—
|
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: 存命人物 | Statement: [福田康夫, 生存状況, 存命人物]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 生存状況 Context triple: [福田康夫, 生存状況, 存命人物]
-
A.
survivingFrom
Indicates that one entity continues to live, exist, or remain after another related entity has ended, disappeared, or ceased to exist.
-
B.
survivesIn
Indicates that an entity remains alive, functional, or intact within a specified environment, condition, or context.
-
C.
lifeStatus
chosen
Indicates the current state of an entity’s existence, such as whether it is alive, dead, or in another defined life condition.
-
D.
hasSurvivalStatus
Indicates the survival condition or outcome associated with an entity, such as whether it is alive, deceased, or in another defined survival state.
-
E.
supportsLife
Indicates that one entity provides conditions or resources that allow another entity to live, grow, or remain biologically viable.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f7d8ac8190b90c1a7f77b23545 |
completed | April 7, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69d4fb94fa10819091f585bab4379c6f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:30 p.m.