Triple
T20618820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strictly Ballroom |
E506643
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object |
Ronin Films
Ronin Films is an Australian independent film distribution company known for releasing art-house, documentary, and culturally significant films.
|
E1440791
|
NE FINISHED |
How this triple was built (4 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: Ronin Films | Statement: [Strictly Ballroom, distributor, Ronin Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronin Films Context triple: [Strictly Ballroom, distributor, Ronin Films]
-
A.
Ruby Films
Ruby Films is a British film and television production company known for producing high-quality period dramas and literary adaptations.
-
B.
Cosmo Films
Cosmo Films is a film production company known for backing independent and critically acclaimed movies such as the musical drama "Sing Street."
-
C.
Daiei Film
Daiei Film was a major Japanese film studio best known for producing classic kaiju and genre films, including the Gamera series.
-
D.
Rastar Films
Rastar Films was an American film production company known for producing a range of notable Hollywood films from the 1960s through the 1980s.
-
E.
Scion Films
Scion Films is a British film production company known for backing acclaimed dramas such as "The Constant Gardener."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ronin Films Triple: [Strictly Ballroom, distributor, Ronin Films]
Generated description
Ronin Films is an Australian independent film distribution company known for releasing art-house, documentary, and culturally significant films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ronin Films Target entity description: Ronin Films is an Australian independent film distribution company known for releasing art-house, documentary, and culturally significant films.
-
A.
Ruby Films
Ruby Films is a British film and television production company known for producing high-quality period dramas and literary adaptations.
-
B.
Cosmo Films
Cosmo Films is a film production company known for backing independent and critically acclaimed movies such as the musical drama "Sing Street."
-
C.
Daiei Film
Daiei Film was a major Japanese film studio best known for producing classic kaiju and genre films, including the Gamera series.
-
D.
Rastar Films
Rastar Films was an American film production company known for producing a range of notable Hollywood films from the 1960s through the 1980s.
-
E.
Scion Films
Scion Films is a British film production company known for backing acclaimed dramas such as "The Constant Gardener."
- F. None of above. chosen
Provenance (5 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abdf9d7c8190969247a4ae55b781 |
completed | April 20, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bb1588a881909f7197bfc38d9e21 |
completed | May 16, 2026, 6:44 p.m. |
| NEDg | Description generation | batch_6a08bba2e85881909ae887fc5bc3121f |
completed | May 16, 2026, 6:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08bc410f008190b00bf4956d591176 |
completed | May 16, 2026, 6:49 p.m. |
Created at: April 16, 2026, 11:41 a.m.