Triple
T19629075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Matter (TV series) |
E471216
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Prodigy Pictures
Prodigy Pictures is a Canadian television and film production company known for creating science fiction and genre series.
|
E1386442
|
NE FINISHED |
How this triple was built (4 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 (TV series), productionCompany, Prodigy Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prodigy Pictures Context triple: [Dark Matter (TV series), productionCompany, Prodigy Pictures]
-
A.
Indelible Pictures
Indelible Pictures is a film production company known for producing the skateboarding drama "Lords of Dogtown."
-
B.
Picturemaker Productions
Picturemaker Productions is a television production company best known for producing the series "Medium."
-
C.
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.
-
D.
Renown Pictures
Renown Pictures is a British film production and distribution company known for its work on mid-20th-century cinema.
-
E.
Applehead Pictures
Applehead Pictures is a film production company best known for producing the romantic drama "Letters to Juliet."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Prodigy Pictures Triple: [Dark Matter (TV series), productionCompany, Prodigy Pictures]
Generated description
Prodigy Pictures is a Canadian television and film production company known for creating science fiction and genre series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prodigy Pictures Target entity description: Prodigy Pictures is a Canadian television and film production company known for creating science fiction and genre series.
-
A.
Indelible Pictures
Indelible Pictures is a film production company known for producing the skateboarding drama "Lords of Dogtown."
-
B.
Picturemaker Productions
Picturemaker Productions is a television production company best known for producing the series "Medium."
-
C.
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.
-
D.
Renown Pictures
Renown Pictures is a British film production and distribution company known for its work on mid-20th-century cinema.
-
E.
Applehead Pictures
Applehead Pictures is a film production company best known for producing the romantic drama "Letters to Juliet."
- F. None of above. chosen
Provenance (5 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64101a0448190ba19f8917ae85dd6 |
completed | April 20, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0771c20d8081909095444afe673e09 |
completed | May 15, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_6a07727e9cd48190b5a83d0bf8805170 |
completed | May 15, 2026, 7:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0773021f788190aaeb3a6831ded005 |
completed | May 15, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:44 p.m.