Triple
T13071429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy and Madeline on a Park Bench |
E329463
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object |
Variance Films
Variance Films is an independent film distribution company known for releasing arthouse and niche feature films.
|
E1020486
|
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: Variance Films | Statement: [Guy and Madeline on a Park Bench, distributor, Variance Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Variance Films Context triple: [Guy and Madeline on a Park Bench, distributor, Variance Films]
-
A.
Valoria Films
Valoria Films is a film distribution company known for handling the release of various international and independent movies.
-
B.
Vistar Films
Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
-
C.
Ombra Films
Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
-
D.
Overture Films
Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
-
E.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
- 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: Variance Films Triple: [Guy and Madeline on a Park Bench, distributor, Variance Films]
Generated description
Variance Films is an independent film distribution company known for releasing arthouse and niche feature films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Variance Films Target entity description: Variance Films is an independent film distribution company known for releasing arthouse and niche feature films.
-
A.
Valoria Films
Valoria Films is a film distribution company known for handling the release of various international and independent movies.
-
B.
Vistar Films
Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
-
C.
Ombra Films
Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
-
D.
Overture Films
Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
-
E.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ee6130819095d835e7ff6a8c5b |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60510dc81909e0cba8b63a50d9c |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6dbb4b8848190825102be81ff693a |
completed | May 3, 2026, 5:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6dc705f28819087e5d374f83d3acc |
completed | May 3, 2026, 5:26 a.m. |
Created at: April 9, 2026, 9 p.m.