Triple
T28217470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunio |
E711352
|
entity |
| Predicate | belongsToNameClass |
P181636
|
FINISHED |
| Object | Japanese-language masculine given names |
—
|
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: Japanese-language masculine given names | Statement: [Kunio, belongsToNameClass, Japanese-language masculine given names]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToNameClass Context triple: [Kunio, belongsToNameClass, Japanese-language masculine given names]
-
A.
namesakeOfClass
Indicates that one entity serves as the person, place, or thing after which a particular class is named.
-
B.
belongsToPattern
chosen
Indicates that something is a component, instance, or member of a specified pattern or structured template.
-
C.
namedForRelationship
Indicates that one entity serves as the namesake or source of the name for another entity.
-
D.
belongsToOrderClassSystem
Indicates that something is classified within, or is a member of, a particular order in a hierarchical class system.
-
E.
belongsToUN
Indicates that an entity is a member of, or formally affiliated with, the United Nations.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 27, 2026, 10:44 p.m.