Triple
T3692144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Intouchables (US distribution) |
E78366
|
entity |
| Predicate | subtitlesLanguage |
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: [The Intouchables (US distribution), subtitlesLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subtitlesLanguage Context triple: [The Intouchables (US distribution), subtitlesLanguage, English]
-
A.
languageOfSubtitles
chosen
Indicates the language in which the subtitles for a given media item are provided.
-
B.
hasIntertitlesLanguage
Indicates that the intertitles of a film or audiovisual work are presented in a specified language.
-
C.
languageOfAlternativeTitle
Indicates the language in which an alternative or variant title of an entity is expressed.
-
D.
languageOfSignage
Indicates the language used on signs or written displays associated with an entity.
-
E.
presentedInLanguage
Indicates that something (such as content, information, or a work) is expressed or made available using a particular 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4e783a88190b2837a68b8723a25 |
completed | March 8, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69adb84dc5808190850aa6975cb09e27 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.