Triple
T2135872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dusty Cohl |
E46651
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Dusty
Dusty is the nickname of Dusty Cohl, a prominent Canadian film producer and co-founder of the Toronto International Film Festival.
|
E238025
|
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: Dusty | Statement: [Dusty Cohl, nickname, Dusty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dusty Context triple: [Dusty Cohl, nickname, Dusty]
-
A.
Dust
Dust was an early 1970s American hard rock and proto–heavy metal band known for featuring future Ramones drummer Marky Ramone (then Marc Bell).
-
B.
Dustheads
Dustheads is a vibrant 1982 neo-expressionist painting by Jean-Michel Basquiat, celebrated for its frenetic energy, bold colors, and depiction of figures associated with New York’s downtown street culture.
-
C.
Eat My Dust
Eat My Dust is a high-energy racing track featured in the game Mutable Set, known for its fast-paced design and competitive gameplay.
-
D.
Dust a Sound Boy
"Dust a Sound Boy" is a reggae/dancehall-influenced track best known for its sampled use in the song "Mercy."
-
E.
Durst
Durst is a surname most prominently associated with the New York real estate–developing Durst family, including figures such as Joseph Durst and his descendants.
- 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: Dusty Triple: [Dusty Cohl, nickname, Dusty]
Generated description
Dusty is the nickname of Dusty Cohl, a prominent Canadian film producer and co-founder of the Toronto International Film Festival.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dusty Target entity description: Dusty is the nickname of Dusty Cohl, a prominent Canadian film producer and co-founder of the Toronto International Film Festival.
-
A.
Dust
Dust was an early 1970s American hard rock and proto–heavy metal band known for featuring future Ramones drummer Marky Ramone (then Marc Bell).
-
B.
Dustheads
Dustheads is a vibrant 1982 neo-expressionist painting by Jean-Michel Basquiat, celebrated for its frenetic energy, bold colors, and depiction of figures associated with New York’s downtown street culture.
-
C.
Eat My Dust
Eat My Dust is a high-energy racing track featured in the game Mutable Set, known for its fast-paced design and competitive gameplay.
-
D.
Dust a Sound Boy
"Dust a Sound Boy" is a reggae/dancehall-influenced track best known for its sampled use in the song "Mercy."
-
E.
Durst
Durst is a surname most prominently associated with the New York real estate–developing Durst family, including figures such as Joseph Durst and his descendants.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbdc4ce8c81908d143d5451681e6a |
completed | March 7, 2026, 5:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51acc0f88190a580e29d887170ec |
completed | March 9, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69ae5322097c81909d77d54ae258ab1a |
completed | March 9, 2026, 4:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae536431bc8190b9f293d74046cb27 |
completed | March 9, 2026, 4:58 a.m. |
Created at: March 4, 2026, 7:44 p.m.