Triple
T30180976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burnt by the Sun |
E767198
|
entity |
| Predicate | subtitledIn |
P47403
|
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: [Burnt by the Sun, subtitledIn, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subtitledIn Context triple: [Burnt by the Sun, subtitledIn, English]
-
A.
dubbedFor
Indicates that one media work has been voice-dubbed to create a version suitable for another language, region, or audience.
-
B.
languageDubbedIn
Indicates that the content’s audio has been dubbed into the specified language.
-
C.
hasSubtitles
Indicates that one media item provides subtitle text or tracks that accompany another media item or its audio content.
-
D.
languageOfSubtitles
chosen
Indicates the language in which the subtitles for a given media item are provided.
-
E.
adaptedInLanguage
Indicates that a work or content has been modified or translated so it can be presented or understood in a specified language.
- 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_69f2247ba20c81909d34f2bfed706e1e |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f419e088190ba19a6ab9465d951 |
completed | May 2, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:26 p.m.