Triple
T11009734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Help! (film) |
E260215
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Proscenium Films
Proscenium Films is a film production company known for producing the 2015 Indian comedy film "Help!"
|
E899424
|
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: Proscenium Films | Statement: [Help! (film), productionCompany, Proscenium Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Proscenium Films Context triple: [Help! (film), productionCompany, Proscenium Films]
-
A.
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.
-
B.
Praxis Films
Praxis Films is an independent film production company best known for producing Laura Poitras’s Oscar-winning documentary "Citizenfour" about Edward Snowden and NSA surveillance.
-
C.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
-
D.
Scion Films
Scion Films is a British film production company known for backing acclaimed dramas such as "The Constant Gardener."
-
E.
Ombra Films
Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
- 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: Proscenium Films Triple: [Help! (film), productionCompany, Proscenium Films]
Generated description
Proscenium Films is a film production company known for producing the 2015 Indian comedy film "Help!"
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Proscenium Films Target entity description: Proscenium Films is a film production company known for producing the 2015 Indian comedy film "Help!"
-
A.
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.
-
B.
Praxis Films
Praxis Films is an independent film production company best known for producing Laura Poitras’s Oscar-winning documentary "Citizenfour" about Edward Snowden and NSA surveillance.
-
C.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
-
D.
Scion Films
Scion Films is a British film production company known for backing acclaimed dramas such as "The Constant Gardener."
-
E.
Ombra Films
Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79788d44c819084f35693ed96f422 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e37498b9fc8190860acede4f49ea4a |
completed | April 18, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_69e378dcc92c8190952d4acfee2a309c |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37be75a588190abb9569ef1e87279 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:25 p.m.