Triple
T20388127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Small Crimes |
E498009
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Rumble Films |
—
|
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: Rumble Films | Statement: [Small Crimes, productionCompany, Rumble Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rumble Films Context triple: [Small Crimes, productionCompany, Rumble Films]
-
A.
Rumble Films
chosen
Rumble Films is an American film production company known for producing independent and genre-driven movies.
-
B.
Pandemonium Films
Pandemonium Films is a film production company known for producing the 2005 supernatural horror movie "Dark Water."
-
C.
Ombra Films
Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
-
D.
B-Reel Films
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."
-
E.
Romulus Films
Romulus Films is a British film production and distribution company known for backing several notable mid-20th-century films.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790d9e5881908bde7da9e5e541a0 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.