Triple
T10408871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nocturnal Animals |
E245335
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
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."
|
E861943
|
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: Artina Films | Statement: [Nocturnal Animals, productionCompany, Artina Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artina Films Context triple: [Nocturnal Animals, productionCompany, Artina Films]
-
A.
Morfina Films
Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
-
B.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
-
C.
Canana Films
Canana Films is a Mexican film production company known for producing socially conscious and critically acclaimed Latin American cinema.
-
D.
Anouchka Films
Anouchka Films is a film production company known for producing works such as Jean-Luc Godard’s 1967 political drama "La Chinoise."
-
E.
Diaphana Films
Diaphana Films is a French film distribution and production company known for handling acclaimed international and auteur 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: Artina Films Triple: [Nocturnal Animals, productionCompany, Artina Films]
Generated description
Artina Films is a film production company known for backing notable independent and auteur-driven movies, including Tom Ford’s psychological thriller "Nocturnal Animals."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Artina Films Target entity description: Artina Films is a film production company known for backing notable independent and auteur-driven movies, including Tom Ford’s psychological thriller "Nocturnal Animals."
-
A.
Morfina Films
Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
-
B.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
-
C.
Canana Films
Canana Films is a Mexican film production company known for producing socially conscious and critically acclaimed Latin American cinema.
-
D.
Anouchka Films
Anouchka Films is a film production company known for producing works such as Jean-Luc Godard’s 1967 political drama "La Chinoise."
-
E.
Diaphana Films
Diaphana Films is a French film distribution and production company known for handling acclaimed international and auteur 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9faa97c819092cadedadabe26bf |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbf1c428819099ca359309c4c836 |
completed | April 9, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69d822d597088190bf3dca85e1ddb890 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859e40bf88190a6dc8deed3049d31 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 6, 2026, 12:09 p.m.