Triple
T33306421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kojiro |
E852743
|
entity |
| Predicate | hasNameComponentMeaningDependentOnKanji |
P76133
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Kojiro, hasNameComponentMeaningDependentOnKanji, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameComponentMeaningDependentOnKanji Context triple: [Kojiro, hasNameComponentMeaningDependentOnKanji, true]
-
A.
hasNameInKanji
Indicates that an entity is associated with a specific written form of its name in Kanji characters.
-
B.
hasNameInJapanese
Indicates that an entity is associated with a specific name expressed in the Japanese language.
-
C.
componentKanji2
Indicates that one kanji character serves as the second component or sub-part of another kanji.
-
D.
meaningDependsOnKanji
chosen
Indicates that the meaning of something (e.g., a word or expression) is determined by, or varies according to, the specific kanji characters used.
-
E.
componentKanji1Meaning
Indicates that the first kanji component of a character corresponds to a particular meaning or semantic value.
- 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_69f349679fd8819093b9b40e989440e3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: May 1, 2026, 1:33 a.m.