Triple
T21993507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phileine Says Sorry |
E543145
|
entity |
| Predicate | award |
P107
|
FINISHED |
| Object |
Golden Film (Netherlands)
Golden Film (Netherlands) is a Dutch film award given to domestic movies that reach a specified milestone in box office admissions.
|
E1512530
|
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: Golden Film (Netherlands) | Statement: [Phileine Says Sorry, award, Golden Film (Netherlands)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golden Film (Netherlands) Context triple: [Phileine Says Sorry, award, Golden Film (Netherlands)]
-
A.
Artina Films
Artina Films is a film production company known for backing notable independent and auteur-driven movies, including Tom Ford’s psychological thriller "Nocturnal Animals."
-
B.
Allegro Films
Allegro Films is a film production company known for producing feature films such as the 1997 movie "Trucks."
-
C.
Zeta Film
Zeta Film is a film production company known for collaborating with other studios such as Central Films on various cinematic projects.
-
D.
Wega Film
Wega Film is an Austrian film production company known for collaborating on acclaimed European art-house films.
-
E.
Canana Films
Canana Films is a Mexican film production company known for producing socially conscious and critically acclaimed Latin American cinema.
- 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: Golden Film (Netherlands) Triple: [Phileine Says Sorry, award, Golden Film (Netherlands)]
Generated description
Golden Film (Netherlands) is a Dutch film award given to domestic movies that reach a specified milestone in box office admissions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Golden Film (Netherlands) Target entity description: Golden Film (Netherlands) is a Dutch film award given to domestic movies that reach a specified milestone in box office admissions.
-
A.
Artina Films
Artina Films is a film production company known for backing notable independent and auteur-driven movies, including Tom Ford’s psychological thriller "Nocturnal Animals."
-
B.
Allegro Films
Allegro Films is a film production company known for producing feature films such as the 1997 movie "Trucks."
-
C.
Zeta Film
Zeta Film is a film production company known for collaborating with other studios such as Central Films on various cinematic projects.
-
D.
Wega Film
Wega Film is an Austrian film production company known for collaborating on acclaimed European art-house films.
-
E.
Canana Films
Canana Films is a Mexican film production company known for producing socially conscious and critically acclaimed Latin American cinema.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1270f77fc8190aadcc02760d65ac0 |
completed | April 28, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d85f104819088dba8d0bf347fbe |
completed | May 18, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a0a6e556f3c8190927d1c0cba23463c |
completed | May 18, 2026, 1:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6f3de2e88190824c9cc266c7ee8c |
completed | May 18, 2026, 1:45 a.m. |
Created at: April 16, 2026, 8:17 p.m.