Triple
T21389687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Rona |
E527607
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Rogue 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: Rogue Pictures | Statement: [Andrew Rona, employer, Rogue Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rogue Pictures Context triple: [Andrew Rona, employer, Rogue Pictures]
-
A.
Rogue Pictures
chosen
Rogue Pictures is an American film production and distribution company known for releasing genre and mid-budget movies, particularly in the horror and thriller categories.
-
B.
Wicked Pictures
Wicked Pictures is an American adult film production company known for its high-budget, story-driven pornography and prominent contract performers.
-
C.
Maverick Films
Maverick Films is a film production company known for backing independent and genre-driven movies, including the crime comedy-drama "Gridlock'd."
-
D.
Rook Films
Rook Films is a British independent film production company known for its distinctive, often surreal and genre-bending movies.
-
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 (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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f8ae288190b43df9fe2841a822 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:13 p.m.