Triple
T9175821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DTS-HD Master Audio |
E220195
|
entity |
| Predicate | supportsLanguageTracks |
P69779
|
FINISHED |
| Object | multiple audio tracks per disc |
—
|
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: multiple audio tracks per disc | Statement: [DTS-HD Master Audio, supportsLanguageTracks, multiple audio tracks per disc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLanguageTracks Context triple: [DTS-HD Master Audio, supportsLanguageTracks, multiple audio tracks per disc]
-
A.
supportsSubtitleTrackSelection
Indicates that an entity provides functionality to choose or switch between available subtitle tracks.
-
B.
hasSubtitles
Indicates that one media item provides subtitle text or tracks that accompany another media item or its audio content.
-
C.
containsAdditionalTracksBeyond
chosen
Indicates that one entity includes more tracks or items than are present in another referenced set or version.
-
D.
originalLanguageSupport
Indicates that one entity provides or maintains functionality, content, or interaction in the original language of another entity.
-
E.
languageOfTrackTitles
Indicates the language in which the titles of the tracks are written or presented.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa496548190a096969eebf732f3 |
completed | April 1, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:23 p.m.