Triple
T36923856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | For and Against |
E913280
|
entity |
| Predicate | originalLanguageOfMainTitle |
—
|
GENERATED |
| Object | French |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLanguageOfMainTitle Context triple: [For and Against, originalLanguageOfMainTitle, French]
-
A.
originalTitleLanguage
chosen
Indicates the language in which a work’s original title was written or expressed.
-
B.
originalLanguageTitle
Indicates the title of a work as it appears in its original language of creation or publication.
-
C.
originalLanguageOfFilmOrTVShow
Indicates the language in which a film or TV show was originally produced and released.
-
D.
primaryLanguageOfTitles
Indicates that a specified language is the main language used in the titles associated with a given entity.
-
E.
originalLanguageOfWholeWork
Indicates that a given language is the primary or original language in which an entire work (such as a book, film, or other complete creation) was first produced or expressed.
- F. None of above.
Provenance (1 batch)
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_69f76e885b848190bad82c87e9525486 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.