Triple
T18220595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Days to Live |
E436291
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Helkon Filmproduktion
Helkon Filmproduktion is a German film production company known for producing genre films, including thrillers and horror movies.
|
E1313260
|
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: Helkon Filmproduktion | Statement: [Seven Days to Live, productionCompany, Helkon Filmproduktion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helkon Filmproduktion Context triple: [Seven Days to Live, productionCompany, Helkon Filmproduktion]
-
A.
Heinz Emigholz Filmproduktion
Heinz Emigholz Filmproduktion is a German film production company associated with the experimental and architectural cinema of filmmaker Heinz Emigholz.
-
B.
Konrad Pictures
Konrad Pictures is a film production company known for working on the romantic fantasy movie "Kate & Leopold."
-
C.
Mark Hellinger Productions
Mark Hellinger Productions was an American film production company founded by journalist-turned-producer Mark Hellinger, known for its mid-20th-century crime and noir films.
-
D.
Swaka Films
Swaka Films is a film production company known for producing the 2013 adaptation of "Romeo & Juliet."
-
E.
Allegro Films
Allegro Films is a film production company known for producing feature films such as the 1997 movie "Trucks."
- 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: Helkon Filmproduktion Triple: [Seven Days to Live, productionCompany, Helkon Filmproduktion]
Generated description
Helkon Filmproduktion is a German film production company known for producing genre films, including thrillers and horror movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helkon Filmproduktion Target entity description: Helkon Filmproduktion is a German film production company known for producing genre films, including thrillers and horror movies.
-
A.
Heinz Emigholz Filmproduktion
Heinz Emigholz Filmproduktion is a German film production company associated with the experimental and architectural cinema of filmmaker Heinz Emigholz.
-
B.
Konrad Pictures
Konrad Pictures is a film production company known for working on the romantic fantasy movie "Kate & Leopold."
-
C.
Mark Hellinger Productions
Mark Hellinger Productions was an American film production company founded by journalist-turned-producer Mark Hellinger, known for its mid-20th-century crime and noir films.
-
D.
Swaka Films
Swaka Films is a film production company known for producing the 2013 adaptation of "Romeo & Juliet."
-
E.
Allegro Films
Allegro Films is a film production company known for producing feature films such as the 1997 movie "Trucks."
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47b5bfc819085c5935c08361ba9 |
completed | April 19, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a039f1b982881909bbff3ce2c560c98 |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a03a31626fc8190b68f8cdb780debed |
completed | May 12, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a37d8658819094a2b24259af9f29 |
completed | May 12, 2026, 10:02 p.m. |
Created at: April 10, 2026, 10:32 a.m.