Triple
T20468725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wages of Fear |
E502124
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Cinedis
Cinedis is a French film production and distribution company known for backing notable mid-20th-century films.
|
E1432802
|
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: Cinedis | Statement: [The Wages of Fear, productionCompany, Cinedis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cinedis Context triple: [The Wages of Fear, productionCompany, Cinedis]
-
A.
Atresmedia Cine
Atresmedia Cine is a Spanish film production company known for producing a wide range of contemporary Spanish-language movies.
-
B.
Cinecom Entertainment Group
Cinecom Entertainment Group was an American independent film distribution company known for releasing acclaimed art-house and foreign films during the 1980s and early 1990s.
-
C.
Telecinco Cinema
Telecinco Cinema is a Spanish film production company known for backing successful and critically acclaimed films, including prominent genre and mainstream titles.
-
D.
Cinemastar
Cinemastar is a line of hard disk drives produced by HGST, typically designed for consumer and multimedia applications.
-
E.
Cinestate
Cinestate was an American film production company known for producing genre-driven, often violent and politically provocative independent 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: Cinedis Triple: [The Wages of Fear, productionCompany, Cinedis]
Generated description
Cinedis is a French film production and distribution company known for backing notable mid-20th-century films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cinedis Target entity description: Cinedis is a French film production and distribution company known for backing notable mid-20th-century films.
-
A.
Atresmedia Cine
Atresmedia Cine is a Spanish film production company known for producing a wide range of contemporary Spanish-language movies.
-
B.
Cinecom Entertainment Group
Cinecom Entertainment Group was an American independent film distribution company known for releasing acclaimed art-house and foreign films during the 1980s and early 1990s.
-
C.
Telecinco Cinema
Telecinco Cinema is a Spanish film production company known for backing successful and critically acclaimed films, including prominent genre and mainstream titles.
-
D.
Cinemastar
Cinemastar is a line of hard disk drives produced by HGST, typically designed for consumer and multimedia applications.
-
E.
Cinestate
Cinestate was an American film production company known for producing genre-driven, often violent and politically provocative independent 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6995e71c08190911fadbc433f0f4d |
completed | April 20, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088b1a82a88190a5f531c43cdd15cb |
completed | May 16, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_6a088c9b40788190b76ef5c582996d34 |
completed | May 16, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088d186a38819085c8809560e94745 |
completed | May 16, 2026, 3:28 p.m. |
Created at: April 16, 2026, 11:33 a.m.