Triple
T16472869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montmagny |
E400108
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Patrick Floquet
Patrick Floquet is a Canadian municipal politician who serves as the mayor of Montmagny, Quebec.
|
E1238008
|
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: Patrick Floquet | Statement: [Montmagny, hasMayor, Patrick Floquet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Floquet Context triple: [Montmagny, hasMayor, Patrick Floquet]
-
A.
Philippe Grangier
Philippe Grangier is a French physicist known for his pioneering experimental work in quantum optics and foundational tests of quantum mechanics, including landmark Bell inequality experiments.
-
B.
Matthieu Rougé
Matthieu Rougé is a French Roman Catholic prelate who serves as the bishop of the Diocese of Nanterre.
-
C.
Paul Bonhomme
Paul Bonhomme is a British aerobatic and commercial pilot best known as one of the most successful competitors in the Red Bull Air Race World Championship.
-
D.
Mathias Crochon
Mathias Crochon is the brother of French actor Vincent Cassel and a member of the Cassel/Crochon family connected to French cinema.
-
E.
Jean-Marc Fontaine
Jean-Marc Fontaine was a French mathematician known for his foundational work in p-adic Hodge theory and arithmetic geometry.
- 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: Patrick Floquet Triple: [Montmagny, hasMayor, Patrick Floquet]
Generated description
Patrick Floquet is a Canadian municipal politician who serves as the mayor of Montmagny, Quebec.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patrick Floquet Target entity description: Patrick Floquet is a Canadian municipal politician who serves as the mayor of Montmagny, Quebec.
-
A.
Philippe Grangier
Philippe Grangier is a French physicist known for his pioneering experimental work in quantum optics and foundational tests of quantum mechanics, including landmark Bell inequality experiments.
-
B.
Matthieu Rougé
Matthieu Rougé is a French Roman Catholic prelate who serves as the bishop of the Diocese of Nanterre.
-
C.
Paul Bonhomme
Paul Bonhomme is a British aerobatic and commercial pilot best known as one of the most successful competitors in the Red Bull Air Race World Championship.
-
D.
Mathias Crochon
Mathias Crochon is the brother of French actor Vincent Cassel and a member of the Cassel/Crochon family connected to French cinema.
-
E.
Jean-Marc Fontaine
Jean-Marc Fontaine was a French mathematician known for his foundational work in p-adic Hodge theory and arithmetic geometry.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd266c48190991a1484eb2f7bcc |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c291e2008190b41a989c5c6e2860 |
completed | May 10, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a00c332051c8190b086a6e29b8d9c61 |
completed | May 10, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c434d8f88190a71c1c4c8e475e33 |
completed | May 10, 2026, 5:45 p.m. |
Created at: April 10, 2026, 5:11 a.m.