Triple
T33975913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noriko |
E871137
|
entity |
| Predicate | nameElementFunction |
P37982
|
FINISHED |
| Object | suffix -ko indicates “child” in many Japanese feminine 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: suffix -ko indicates “child” in many Japanese feminine names | Statement: [Noriko, nameElementFunction, suffix -ko indicates “child” in many Japanese feminine names]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameElementFunction Context triple: [Noriko, nameElementFunction, suffix -ko indicates “child” in many Japanese feminine names]
-
A.
nameElement
Indicates that one entity serves as the name or label assigned to another entity or element.
-
B.
nameElementIn
chosen
Indicates that an entity is (or contains) a specific name element within a larger naming structure or system.
-
C.
nameElement2
Indicates that the second element in a pair or sequence serves as or contains a name associated with the relationship.
-
D.
nameElement1
Indicates that the first element in a pair or structure serves as or contains a name.
-
E.
nameElementCategory
Indicates that a given name or label belongs to, or is classified under, a particular element category.
- 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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:50 a.m.