Triple
T24313153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mysterious Lady |
E612727
|
entity |
| Predicate | languageIntertitles |
P7742
|
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: [The Mysterious Lady, languageIntertitles, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageIntertitles Context triple: [The Mysterious Lady, languageIntertitles, English]
-
A.
hasIntertitlesLanguage
chosen
Indicates that the intertitles of a film or audiovisual work are presented in a specified language.
-
B.
containsIntertitlesFrom
Indicates that one entity includes or incorporates intertitles that originate from another entity.
-
C.
languageDubbedIn
Indicates that the content’s audio has been dubbed into the specified language.
-
D.
languageOfSubtitles
Indicates the language in which the subtitles for a given media item are provided.
-
E.
filmPosterCaptionLanguage
Indicates the language in which the caption or text on a film’s poster is written.
- 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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292a569dc81908971a4026e612a05 |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:44 a.m.