Triple
T20740712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cold Light of Day |
E510430
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Galavis Film
Galavis Film is a film production company known for working on international action-thriller projects such as "The Cold Light of Day."
|
E1447809
|
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: Galavis Film | Statement: [The Cold Light of Day, productionCompany, Galavis Film]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galavis Film Context triple: [The Cold Light of Day, productionCompany, Galavis Film]
-
A.
Galatea Film
Galatea Film is an Italian film production company known for backing genre and horror movies, including works by director Mario Bava.
-
B.
Argus Film
Argus Film is a film production company known for its involvement in notable European art-house cinema such as Lars von Trier’s "Breaking the Waves."
-
C.
Geria Film
Geria Film is a film production company known for producing the movie "Fedora."
-
D.
GV Films
GV Films is an Indian film production and distribution company known for backing several notable Tamil and South Indian movies.
-
E.
Mantaray Film
Mantaray Film is a Swedish film production company known for producing acclaimed documentaries and feature films, often with a strong focus on personal and artistic stories.
- 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: Galavis Film Triple: [The Cold Light of Day, productionCompany, Galavis Film]
Generated description
Galavis Film is a film production company known for working on international action-thriller projects such as "The Cold Light of Day."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Galavis Film Target entity description: Galavis Film is a film production company known for working on international action-thriller projects such as "The Cold Light of Day."
-
A.
Galatea Film
Galatea Film is an Italian film production company known for backing genre and horror movies, including works by director Mario Bava.
-
B.
Argus Film
Argus Film is a film production company known for its involvement in notable European art-house cinema such as Lars von Trier’s "Breaking the Waves."
-
C.
Geria Film
Geria Film is a film production company known for producing the movie "Fedora."
-
D.
GV Films
GV Films is an Indian film production and distribution company known for backing several notable Tamil and South Indian movies.
-
E.
Mantaray Film
Mantaray Film is a Swedish film production company known for producing acclaimed documentaries and feature films, often with a strong focus on personal and artistic stories.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20e76ac8190985203b2c17aca14 |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e83bee00819087ca4a2f57d97590 |
completed | May 16, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_6a08e8aaf8c48190a39ff61647931670 |
completed | May 16, 2026, 9:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e91102e081909b22c8d69c6c994c |
completed | May 16, 2026, 10 p.m. |
Created at: April 16, 2026, 12:32 p.m.