Triple
T15435249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakasone political family |
E369742
|
entity |
| Predicate | politicalInfluenceLevel |
P6148
|
FINISHED |
| Object | national |
—
|
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: national | Statement: [Nakasone political family, politicalInfluenceLevel, national]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalInfluenceLevel Context triple: [Nakasone political family, politicalInfluenceLevel, national]
-
A.
politicalInfluenceIn
chosen
Indicates that an entity exerts or holds political influence within a specified place, jurisdiction, or political context.
-
B.
politicalInfluencePeak
Indicates the time or context in which an entity’s political influence reaches its highest level or greatest impact.
-
C.
describesPoliticalInfluenceOf
Indicates that one entity characterizes, explains, or details the nature or extent of another entity’s political influence.
-
D.
pollInfluence
Indicates that one entity affects or shapes the outcome, results, or responses of a poll involving another entity.
-
E.
seeksToInfluence
Indicates an entity’s intention or effort to affect, shape, or alter another entity’s behavior, decisions, or state.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edb3ec481908b26164d4470c9bc |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:21 a.m.