Triple
T11396627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vachon |
E269989
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Mad Dog Vachon
Mad Dog Vachon was a famed Canadian professional wrestler known for his rugged brawling style and influential career in the mid-20th century.
|
E269989
|
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: Mad Dog Vachon | Statement: [Vachon, hasNotableBearer, Mad Dog Vachon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mad Dog Vachon Context triple: [Vachon, hasNotableBearer, Mad Dog Vachon]
-
A.
Danny Dog
Danny Dog is a playful, friendly puppy character from the children's animated series "Peppa Pig," known for his love of pirates and adventure.
-
B.
Mad Dog
Mad Dog is the vicious outlaw gunslinger and primary antagonist in the 1885 segment of the film "Back to the Future Part III."
-
C.
Duke Dog
Duke Dog is the costumed canine mascot that represents James Madison University at its athletic events and campus activities.
-
D.
Pooch
Pooch is a skilled and resourceful member of the elite black-ops team in the action film "The Losers."
-
E.
Vachon
Vachon is a French-origin surname borne by various notable individuals, including artists, athletes, and public figures.
- 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: Mad Dog Vachon Triple: [Vachon, hasNotableBearer, Mad Dog Vachon]
Generated description
Mad Dog Vachon was a famed Canadian professional wrestler known for his rugged brawling style and influential career in the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mad Dog Vachon Target entity description: Mad Dog Vachon was a famed Canadian professional wrestler known for his rugged brawling style and influential career in the mid-20th century.
-
A.
Danny Dog
Danny Dog is a playful, friendly puppy character from the children's animated series "Peppa Pig," known for his love of pirates and adventure.
-
B.
Mad Dog
Mad Dog is the vicious outlaw gunslinger and primary antagonist in the 1885 segment of the film "Back to the Future Part III."
-
C.
Duke Dog
Duke Dog is the costumed canine mascot that represents James Madison University at its athletic events and campus activities.
-
D.
Pooch
Pooch is a skilled and resourceful member of the elite black-ops team in the action film "The Losers."
-
E.
Vachon
chosen
Vachon is a French-origin surname borne by various notable individuals, including artists, athletes, and public figures.
- F. None of above.
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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80019d3d48190a2f473deb6eae33a |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58cd74280819092f8c420630f4889 |
completed | April 20, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69e59774e6648190a38b2515a83c2e0c |
completed | April 20, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5a3abf24481908fb71f4ef6b13532 |
completed | April 20, 2026, 3:55 a.m. |
Created at: April 8, 2026, 9:34 p.m.