Triple
T19568867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ice Road Truckers |
E489657
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Original Productions |
—
|
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: Original Productions | Statement: [Ice Road Truckers, producer, Original Productions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Original Productions Context triple: [Ice Road Truckers, producer, Original Productions]
-
A.
Original Productions
chosen
Original Productions is an American television production company best known for creating reality and documentary-style series, particularly for cable networks like Discovery Channel and Spike.
-
B.
Company Productions
Company Productions is a film production company best known for producing the acclaimed Tamil movie "Subramaniapuram."
-
C.
World Productions
World Productions is a British television production company known for creating acclaimed drama series such as Line of Duty and Bodyguard.
-
D.
Objective Productions
Objective Productions is a British television production company best known for creating innovative comedy series such as the acclaimed sitcom "Peep Show."
-
E.
Central Productions
Central Productions is a television production company best known for producing the comedic historical series "Drunk History."
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f7a74e88190a58d5274050a7d32 |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.