Triple
T19568896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ice Road Truckers |
E489657
|
entity |
| Predicate | featuredPerson |
P5272
|
FINISHED |
| Object | Art Burke |
—
|
NE NERFINISHED |
How this triple was built (3 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: Art Burke | Statement: [Ice Road Truckers, featuredPerson, Art Burke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Art Burke Context triple: [Ice Road Truckers, featuredPerson, Art Burke]
-
A.
Dave Burke
Dave Burke is a central character in the 1959 film noir "Odds Against Tomorrow," depicted as a former police officer who masterminds a high-stakes bank heist.
-
B.
Mat Burke
Mat Burke is a central character in Eugene O’Neill’s play "Anna Christie," portrayed as a rugged Irish stoker whose passionate relationship with Anna drives much of the drama’s emotional conflict.
-
C.
Michael Burke
Michael Burke is a screenwriter best known for co-writing the film "Last Weekend."
-
D.
Matt Burke
Matt Burke is a retired Australian rugby union player renowned for his long and successful career with the Wallabies and the New South Wales Waratahs, primarily as a fullback and goal-kicker.
-
E.
Matt Burke
Matt Burke is a retired English teacher and key supporting character in Stephen King’s novel "’Salem’s Lot," who helps protagonist Ben Mears confront the town’s growing vampire threat.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Art Burke Target entity description: Art Burke is a Canadian truck driver and television personality best known for his appearances on the reality series "Ice Road Truckers," where he navigates hazardous frozen roads in remote northern regions.
-
A.
Dave Burke
Dave Burke is a central character in the 1959 film noir "Odds Against Tomorrow," depicted as a former police officer who masterminds a high-stakes bank heist.
-
B.
Mat Burke
Mat Burke is a central character in Eugene O’Neill’s play "Anna Christie," portrayed as a rugged Irish stoker whose passionate relationship with Anna drives much of the drama’s emotional conflict.
-
C.
Michael Burke
Michael Burke is a screenwriter best known for co-writing the film "Last Weekend."
-
D.
Matt Burke
Matt Burke is a retired Australian rugby union player renowned for his long and successful career with the Wallabies and the New South Wales Waratahs, primarily as a fullback and goal-kicker.
-
E.
Matt Burke
Matt Burke is a retired English teacher and key supporting character in Stephen King’s novel "’Salem’s Lot," who helps protagonist Ben Mears confront the town’s growing vampire threat.
- F. None of above. chosen
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.