Triple
T11168847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Machinist |
E264223
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Filmax |
E649927
|
NE FINISHED |
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: Filmax | Statement: [The Machinist, productionCompany, Filmax]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Filmax Context triple: [The Machinist, productionCompany, Filmax]
-
A.
Filmax
chosen
Filmax is a Spanish film production and distribution company known for producing and releasing a wide range of genre and independent films.
-
B.
Estrella TV
Estrella TV is a Spanish-language American broadcast television network known for its variety of entertainment programming targeting Hispanic audiences in the United States.
-
C.
S-Cinetone
S-Cinetone is a Sony-developed picture profile designed to deliver a cinematic, film-like look with pleasing skin tones straight out of the camera.
-
D.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
-
E.
Flix SE
Flix SE is a German mobility company best known for operating the global FlixBus and FlixTrain networks and expanding into long-distance coach services through acquisitions such as Greyhound Lines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8952e248190b0751669e8c960b7 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463a2e2fc819086126b681d86e94b |
completed | April 19, 2026, 5:09 a.m. |
Created at: April 8, 2026, 9:29 p.m.