Triple
T15368654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chopper |
E367483
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Pariah Films
Pariah Films is a film production company best known for producing the Australian crime drama film "Chopper."
|
E1152854
|
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: Pariah Films | Statement: [Chopper, productionCompany, Pariah Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pariah Films Context triple: [Chopper, productionCompany, Pariah Films]
-
A.
Pandemonium Films
Pandemonium Films is a film production company known for producing the 2005 supernatural horror movie "Dark Water."
-
B.
Shoebox Films
Shoebox Films is a British film production company known for producing independent and auteur-driven movies, including the 2019 thriller "Serenity."
-
C.
Doppelganger Films
Doppelganger Films is a film production company known for collaborating with filmmaker Tony on various screen projects.
-
D.
Ombra Films
Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
-
E.
Figment Films
Figment Films is a British film production company best known for producing the 2000 adventure drama film "The Beach."
- 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: Pariah Films Triple: [Chopper, productionCompany, Pariah Films]
Generated description
Pariah Films is a film production company best known for producing the Australian crime drama film "Chopper."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pariah Films Target entity description: Pariah Films is a film production company best known for producing the Australian crime drama film "Chopper."
-
A.
Pandemonium Films
Pandemonium Films is a film production company known for producing the 2005 supernatural horror movie "Dark Water."
-
B.
Shoebox Films
Shoebox Films is a British film production company known for producing independent and auteur-driven movies, including the 2019 thriller "Serenity."
-
C.
Doppelganger Films
Doppelganger Films is a film production company known for collaborating with filmmaker Tony on various screen projects.
-
D.
Ombra Films
Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
-
E.
Figment Films
Figment Films is a British film production company best known for producing the 2000 adventure drama film "The Beach."
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4a7cdc8190b7b48c97e774c306 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b50703881909ca71c985bc1c7b5 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0cb1b9188190b0eb99661d26206f |
completed | May 9, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0d3182f08190abd463d921e1830e |
completed | May 9, 2026, 10:32 a.m. |
Created at: April 10, 2026, 3:18 a.m.