Triple
T22103839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australia (2008 film) |
E546235
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Bazmark Films |
—
|
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: Bazmark Films | Statement: [Australia (2008 film), productionCompany, Bazmark Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bazmark Films Context triple: [Australia (2008 film), productionCompany, Bazmark Films]
-
A.
Bazmark Films
chosen
Bazmark Films is an Australian film production company founded by director Baz Luhrmann, known for producing his visually distinctive and stylized movies such as Moulin Rouge! and The Great Gatsby.
-
B.
Rainmark Films
Rainmark Films is a British film and television production company known for producing high-quality dramas and feature films.
-
C.
BAC Films
BAC Films is a French film distribution company known for handling a wide range of independent and international cinema releases.
-
D.
Maddock Films
Maddock Films is an Indian film production company known for backing popular Hindi movies across genres, including comedies, thrillers, and offbeat dramas.
-
E.
Brio Films
Brio Films is a French film production company known for producing imaginative and visually distinctive movies such as Michel Gondry’s "Mood Indigo."
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.