Triple
T9293212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viridiana |
E223571
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Films 59
Films 59 is a Spanish film production company best known for producing Luis Buñuel’s acclaimed 1961 drama "Viridiana."
|
E789819
|
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: Films 59 | Statement: [Viridiana, productionCompany, Films 59]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Films 59 Context triple: [Viridiana, productionCompany, Films 59]
-
A.
Flims
Flims is a Swiss alpine resort village in the canton of Graubünden, known for its skiing, hiking, and scenic mountain landscapes.
-
B.
Sixteen Films
Sixteen Films is a British film production company best known for producing socially and politically engaged films, frequently in collaboration with director Ken Loach.
-
C.
September Films
September Films is a British television and film production company known for creating reality, entertainment, and documentary programming for international audiences.
-
D.
FilmFour
FilmFour is a British film production company and former television channel associated with Channel 4, known for backing distinctive independent and arthouse films.
-
E.
The Movies
The Movies is a simulation video game that lets players run a Hollywood film studio, managing production, stars, and the creation of custom movies.
- 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: Films 59 Triple: [Viridiana, productionCompany, Films 59]
Generated description
Films 59 is a Spanish film production company best known for producing Luis Buñuel’s acclaimed 1961 drama "Viridiana."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Films 59 Target entity description: Films 59 is a Spanish film production company best known for producing Luis Buñuel’s acclaimed 1961 drama "Viridiana."
-
A.
Flims
Flims is a Swiss alpine resort village in the canton of Graubünden, known for its skiing, hiking, and scenic mountain landscapes.
-
B.
Sixteen Films
Sixteen Films is a British film production company best known for producing socially and politically engaged films, frequently in collaboration with director Ken Loach.
-
C.
September Films
September Films is a British television and film production company known for creating reality, entertainment, and documentary programming for international audiences.
-
D.
FilmFour
FilmFour is a British film production company and former television channel associated with Channel 4, known for backing distinctive independent and arthouse films.
-
E.
The Movies
The Movies is a simulation video game that lets players run a Hollywood film studio, managing production, stars, and the creation of custom movies.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0898b3288190a627a58bfd9c57fe |
completed | April 1, 2026, 11:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b241251c81909aa4e8bcf5cd9c2e |
completed | April 4, 2026, 6:40 a.m. |
| NEDg | Description generation | batch_69d0b3324e7c8190b928928bbfbdbadf |
completed | April 4, 2026, 6:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b3d40da08190b25118a0901728da |
completed | April 4, 2026, 6:46 a.m. |
Created at: March 30, 2026, 7:35 p.m.