Triple
T20468726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wages of Fear |
E502124
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Cinedis |
—
|
NE NERFINISHED |
How this triple was built (2 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, distributor, Cinedis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cinedis Context triple: [The Wages of Fear, distributor, Cinedis]
-
A.
Cinedis
chosen
Cinedis is a French film production and distribution company known for backing notable mid-20th-century films.
-
B.
Atresmedia Cine
Atresmedia Cine is a Spanish film production company known for producing a wide range of contemporary Spanish-language movies.
-
C.
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.
-
D.
Telecinco Cinema
Telecinco Cinema is a Spanish film production company known for backing successful and critically acclaimed films, including prominent genre and mainstream titles.
-
E.
Cinemastar
Cinemastar is a line of hard disk drives produced by HGST, typically designed for consumer and multimedia applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 11:33 a.m.