Triple
T35440025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boy and the Heron |
E1024312
|
entity |
| Predicate | JapaneseTitleRomaji |
P143799
|
FINISHED |
| Object | Kimitachi wa Dō Ikiru ka |
—
|
NE NERFINISHED |
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: Kimitachi wa Dō Ikiru ka | Statement: [The Boy and the Heron, JapaneseTitleRomaji, Kimitachi wa Dō Ikiru ka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JapaneseTitleRomaji Context triple: [The Boy and the Heron, JapaneseTitleRomaji, Kimitachi wa Dō Ikiru ka]
-
A.
JapaneseNameReading
chosen
Indicates that one entity is the reading or pronunciation (e.g., in kana or romaji) of a Japanese name represented by the other entity.
-
B.
titleInKanji
Indicates that one entity is the title of another entity written specifically in Kanji characters.
-
C.
titleInJapanese
Indicates that one entity is the title of another entity expressed specifically in the Japanese language.
-
D.
hasTitleInRevisedRomanization
Indicates that an entity has a specific title expressed using the Revised Romanization system for Korean.
-
E.
onYomiJapanese
Indicates that the specified reading is the on’yomi (Sino-Japanese) pronunciation associated with a given kanji or term.
- 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f795c0b0f48190b6edbf0eb5622c13 |
completed | May 3, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:04 p.m.