Triple
T22100515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Entre Nous |
E546156
|
entity |
| Predicate | posterTaglineLanguage |
P83064
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Entre Nous, posterTaglineLanguage, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: posterTaglineLanguage Context triple: [Entre Nous, posterTaglineLanguage, French]
-
A.
filmPosterCaptionLanguage
chosen
Indicates the language in which the caption or text on a film’s poster is written.
-
B.
hasTagline
Indicates that an entity is associated with a specific slogan or tagline that represents or promotes it.
-
C.
fullLatinTaglineMeaning
Indicates that something expresses the complete meaning or interpretation of a tagline written in Latin.
-
D.
taglineMatch
Indicates that two entities share the same tagline or that a tagline corresponds to a given entity.
-
E.
screenplayLanguage
Indicates the language in which a screenplay is written or primarily expressed.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291501508190ad5689be5abb2ba6 |
completed | April 28, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:30 p.m.