Triple
T34364156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sana |
E881962
|
entity |
| Predicate | debutWorkWithTwice |
P3278
|
FINISHED |
| Object | The Story Begins |
—
|
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: The Story Begins | Statement: [Sana, debutWorkWithTwice, The Story Begins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutWorkWithTwice Context triple: [Sana, debutWorkWithTwice, The Story Begins]
-
A.
liveDebutContext
Indicates the situational setting or circumstances under which a live debut event takes place.
-
B.
debutAs
Indicates that an entity makes its first public appearance or introduction in a particular role, medium, or context.
-
C.
debutWork
chosen
Indicates the work (such as a book, film, album, or performance) that marks an entity’s first public or professional appearance in a given field.
-
D.
usedBeforeDebutIn
Indicates that something was used or employed prior to its official debut or first formal appearance.
-
E.
hasJapaneseDebut
Indicates that an entity made its first official appearance, release, or introduction specifically in Japan.
- 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 1:58 a.m.