Triple
T22161165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time to Hunt |
E547671
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Sidus Pictures |
—
|
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: Sidus Pictures | Statement: [Time to Hunt, producer, Sidus Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidus Pictures Context triple: [Time to Hunt, producer, Sidus Pictures]
-
A.
Sidus Pictures
chosen
Sidus Pictures is a South Korean film production company known for backing acclaimed movies such as the crime thriller "Memories of Murder."
-
B.
Dimension Pictures
Dimension Pictures was an American independent film production and distribution company known for releasing low-budget exploitation and genre films in the 1970s.
-
C.
Konrad Pictures
Konrad Pictures is a film production company known for working on the romantic fantasy movie "Kate & Leopold."
-
D.
Island Pictures
Island Pictures was an independent film distribution company known for releasing notable arthouse and independent films in the 1980s.
-
E.
Vistar Films
Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a2d8064819094d27ef9f15c6a1f |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.