Triple
T27810226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eye of the Storm: Captain Jack’s Stunt Spectacular |
E702497
|
entity |
| Predicate | hasSubtitlesOrTranslation |
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: [Eye of the Storm: Captain Jack’s Stunt Spectacular, hasSubtitlesOrTranslation, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubtitlesOrTranslation Context triple: [Eye of the Storm: Captain Jack’s Stunt Spectacular, hasSubtitlesOrTranslation, English]
-
A.
hasSubtitles
Indicates that one media item provides subtitle text or tracks that accompany another media item or its audio content.
-
B.
hasSubtitledPortion
Indicates that a media item contains at least one segment or portion in which subtitles are present.
-
C.
hasIntertitlesLanguage
Indicates that the intertitles of a film or audiovisual work are presented in a specified language.
-
D.
languageOfSubtitles
chosen
Indicates the language in which the subtitles for a given media item are provided.
-
E.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: April 27, 2026, 5:42 p.m.