Triple
T37163877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VobSub |
E920744
|
entity |
| Predicate | storesSubtitlesAs |
P187490
|
FINISHED |
| Object | raster images |
—
|
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: raster images | Statement: [VobSub, storesSubtitlesAs, raster images]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storesSubtitlesAs Context triple: [VobSub, storesSubtitlesAs, raster images]
-
A.
hasSubtitles
Indicates that one media item provides subtitle text or tracks that accompany another media item or its audio content.
-
B.
languageOfSubtitles
Indicates the language in which the subtitles for a given media item are provided.
-
C.
wroteSubtitle
Indicates that one entity is the author or creator of the subtitle text associated with another entity, such as a film, video, or media work.
-
D.
supportsSubtitleTrackSelection
Indicates that an entity provides functionality to choose or switch between available subtitle tracks.
-
E.
dubbedFor
Indicates that one media work has been voice-dubbed to create a version suitable for another language, region, or audience.
- F. None of above. chosen
Provenance (4 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_69f76ea0429081908c711b55599eac3c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb55dc36d08190a0634fa680e13114 |
completed | May 6, 2026, 2:53 p.m. |
Created at: May 3, 2026, 4:15 p.m.