Triple
T2351241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midsommar |
E47452
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | B-Reel Films |
E18893
|
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: B-Reel Films | Statement: [Midsommar, productionCompany, B-Reel Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B-Reel Films Context triple: [Midsommar, productionCompany, B-Reel Films]
-
A.
B-Reel Films
chosen
B-Reel Films is a Swedish film and television production company known for producing documentaries and narrative features, including the climate-focused film "I Am Greta."
-
B.
See-Saw Films
See-Saw Films is a British-Australian film and television production company known for acclaimed works such as the Academy Award–winning drama "The King’s Speech."
-
C.
Rumble Films
Rumble Films is an American film production company known for producing independent and genre-driven movies.
-
D.
Rastar Films
Rastar Films was an American film production company known for producing a range of notable Hollywood films from the 1960s through the 1980s.
-
E.
Overture Films
Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3c37c448190b2d1fd5c404e0050 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:54 p.m.