Triple
T22588765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Préfontaine |
E564876
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Urbain Préfontaine
Urbain Préfontaine was a 19th-century Canadian politician and public figure from Quebec, known for his involvement in local and provincial affairs.
|
E1544922
|
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: Urbain Préfontaine | Statement: [Préfontaine, hasNotableBearer, Urbain Préfontaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urbain Préfontaine Context triple: [Préfontaine, hasNotableBearer, Urbain Préfontaine]
-
A.
Eugène Figuière
Eugène Figuière was a French publisher known for championing early 20th-century avant-garde and Cubist literature and art.
-
B.
Pierre-Émile Martin
Pierre-Émile Martin was a 19th-century French engineer and metallurgist best known for pioneering advances in steelmaking technology.
-
C.
Francis Brière
Francis Brière is a Canadian municipal politician who serves as the mayor of The Nation Municipality in Ontario.
-
D.
Gaston Langelier
Gaston Langelier is a Canadian businessman best known for owning the Brampton Beast professional ice hockey team.
-
E.
Germain Pilon
Germain Pilon was a prominent 16th-century French sculptor renowned for his expressive funerary monuments and contributions to the French Renaissance style.
- 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: Urbain Préfontaine Triple: [Préfontaine, hasNotableBearer, Urbain Préfontaine]
Generated description
Urbain Préfontaine was a 19th-century Canadian politician and public figure from Quebec, known for his involvement in local and provincial affairs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Urbain Préfontaine Target entity description: Urbain Préfontaine was a 19th-century Canadian politician and public figure from Quebec, known for his involvement in local and provincial affairs.
-
A.
Eugène Figuière
Eugène Figuière was a French publisher known for championing early 20th-century avant-garde and Cubist literature and art.
-
B.
Pierre-Émile Martin
Pierre-Émile Martin was a 19th-century French engineer and metallurgist best known for pioneering advances in steelmaking technology.
-
C.
Francis Brière
Francis Brière is a Canadian municipal politician who serves as the mayor of The Nation Municipality in Ontario.
-
D.
Gaston Langelier
Gaston Langelier is a Canadian businessman best known for owning the Brampton Beast professional ice hockey team.
-
E.
Germain Pilon
Germain Pilon was a prominent 16th-century French sculptor renowned for his expressive funerary monuments and contributions to the French Renaissance style.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1615ea5bc8190b7760cd0de9669dd |
completed | April 29, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b3d5a3080819098e696316ae27ec0 |
completed | May 18, 2026, 4:24 p.m. |
| NEDg | Description generation | batch_6a0b423c08dc819084d0acad4e16a380 |
completed | May 18, 2026, 4:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b42fc28fc8190a501a511cfb7c152 |
completed | May 18, 2026, 4:49 p.m. |
Created at: April 17, 2026, 2:48 p.m.