Triple
T17133979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kiss |
E415788
|
entity |
| Predicate | languageOfCaption |
P83064
|
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: [The Kiss, languageOfCaption, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfCaption Context triple: [The Kiss, languageOfCaption, English]
-
A.
languageOfSubtitles
Indicates the language in which the subtitles for a given media item are provided.
-
B.
languageSpokenOnScreen
Indicates that a particular language is used in spoken dialogue or audible communication within an on-screen work (such as a film, show, or video).
-
C.
filmPosterCaptionLanguage
chosen
Indicates the language in which the caption or text on a film’s poster is written.
-
D.
languageDubbedIn
Indicates that the content’s audio has been dubbed into the specified language.
-
E.
languageOfCommentary
Indicates that one entity is the language in which the commentary on another entity is written or expressed.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02cbb7881908aa69c3443d149d5 |
completed | April 18, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.