Triple
T8918201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celluloid |
E212344
|
entity |
| Predicate | supportsSubtitleTrackSelection |
P86393
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Celluloid, supportsSubtitleTrackSelection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSubtitleTrackSelection Context triple: [Celluloid, supportsSubtitleTrackSelection, true]
-
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.
hasIntertitlesLanguage
Indicates that the intertitles of a film or audiovisual work are presented in a specified language.
-
D.
supportsHEVC
Indicates that one entity provides compatibility with or the ability to handle HEVC (High Efficiency Video Coding) for another entity.
-
E.
hasAdaptationStrategy
Indicates that an entity employs or is associated with a specific method or approach for adapting to changing conditions or requirements.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66120eb08190913ab6c42f26ffb8 |
completed | April 1, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed0ef3c81908cc69eac852ee12a |
completed | March 31, 2026, 11:54 p.m. |
| PDg | Predicate description generation | batch_69cc600a59708190ae426044bbcd7929 |
completed | April 1, 2026, midnight |
Created at: March 30, 2026, 6:56 p.m.