Triple
T11396626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vachon |
E269989
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ludovic Vachon
Ludovic Vachon is a person notable enough to be recognized as a bearer of the surname Vachon.
|
E929557
|
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: Ludovic Vachon | Statement: [Vachon, hasNotableBearer, Ludovic Vachon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ludovic Vachon Context triple: [Vachon, hasNotableBearer, Ludovic Vachon]
-
A.
Denis Vachon
Denis Vachon is a Canadian artistic gymnast known for competing internationally and later contributing to the sport as a coach.
-
B.
Gilles Vachon
Gilles Vachon is a French-Canadian writer and screenwriter known for his work in literature and film.
-
C.
Marcel Desautels
Marcel Desautels was a Canadian lawyer, businessman, and philanthropist best known for his major contributions to higher education and business schools in Canada.
-
D.
Michel Auclair
Michel Auclair was a French actor known for his work in mid-20th-century European and Hollywood films, often portraying suave or sophisticated characters.
-
E.
Gilles Meloche
Gilles Meloche is a former Canadian NHL goaltender best known for his standout play during the 1970s and early 1980s, particularly with struggling expansion teams where he was often heavily relied upon.
- 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: Ludovic Vachon Triple: [Vachon, hasNotableBearer, Ludovic Vachon]
Generated description
Ludovic Vachon is a person notable enough to be recognized as a bearer of the surname Vachon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ludovic Vachon Target entity description: Ludovic Vachon is a person notable enough to be recognized as a bearer of the surname Vachon.
-
A.
Denis Vachon
Denis Vachon is a Canadian artistic gymnast known for competing internationally and later contributing to the sport as a coach.
-
B.
Gilles Vachon
Gilles Vachon is a French-Canadian writer and screenwriter known for his work in literature and film.
-
C.
Marcel Desautels
Marcel Desautels was a Canadian lawyer, businessman, and philanthropist best known for his major contributions to higher education and business schools in Canada.
-
D.
Michel Auclair
Michel Auclair was a French actor known for his work in mid-20th-century European and Hollywood films, often portraying suave or sophisticated characters.
-
E.
Gilles Meloche
Gilles Meloche is a former Canadian NHL goaltender best known for his standout play during the 1970s and early 1980s, particularly with struggling expansion teams where he was often heavily relied upon.
- 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_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_69e624600e0081909cc6f53c05a34efb |
completed | April 20, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69e62cf224f881908badcdab6aea1aef |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e663ffedfc8190a2b51995c62d1e6b |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:34 p.m.