Triple
T22003323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Matter |
E543386
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Prodigy 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: Prodigy Pictures | Statement: [Dark Matter, productionCompany, Prodigy Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prodigy Pictures Context triple: [Dark Matter, productionCompany, Prodigy Pictures]
-
A.
Prodigy Pictures
chosen
Prodigy Pictures is a Canadian television and film production company known for creating science fiction and genre series.
-
B.
Indelible Pictures
Indelible Pictures is a film production company known for producing the skateboarding drama "Lords of Dogtown."
-
C.
Picturemaker Productions
Picturemaker Productions is a television production company best known for producing the series "Medium."
-
D.
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.
-
E.
Renown Pictures
Renown Pictures is a British film production and distribution company known for its work on mid-20th-century cinema.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276cab5c8190ac1236fde7e0394a |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:20 p.m.