Triple
T25201433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanji Tatsumi |
E631134
|
entity |
| Predicate | dubLanguage |
P83674
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Kanji Tatsumi, dubLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dubLanguage Context triple: [Kanji Tatsumi, dubLanguage, English]
-
A.
languageDubbedIn
chosen
Indicates that the content’s audio has been dubbed into the specified language.
-
B.
dubbedFor
Indicates that one media work has been voice-dubbed to create a version suitable for another language, region, or audience.
-
C.
pronunciationLanguage
Indicates the language in which the pronunciation of an entity (such as a word or name) is given.
-
D.
isSpokenAs
Indicates that one entity is used as the spoken or verbal form of another entity (e.g., a word, name, or phrase).
-
E.
suffixLanguage
Indicates that one language is used as a suffix or ending element in the formation or representation of another language or linguistic expression.
- 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f474b5e4408190b726bbd038fa3862 |
completed | May 1, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:51 p.m.