Triple
T18380760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludwig |
E446435
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Bavaria Film |
—
|
NE NERFINISHED |
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: Bavaria Film | Statement: [Ludwig, productionCompany, Bavaria Film]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bavaria Film Context triple: [Ludwig, productionCompany, Bavaria Film]
-
A.
Bavaria Film
chosen
Bavaria Film is a major German film production and studio company known for producing numerous acclaimed movies and television series.
-
B.
Universum Film AG
Universum Film AG (UFA) is a historic German film production and distribution company, especially prominent during the Weimar Republic era for its influential silent and early sound films.
-
C.
Heinz Emigholz Filmproduktion
Heinz Emigholz Filmproduktion is a German film production company associated with the experimental and architectural cinema of filmmaker Heinz Emigholz.
-
D.
Constantin Film
Constantin Film is a German film production and distribution company known for producing a wide range of international films, including major genre franchises.
-
E.
Wunderbar Films
Wunderbar Films is an Indian film production company, founded by actor Dhanush, known for producing acclaimed Tamil-language movies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179aa328819097f5ed8193cfa401 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.