Triple
T9481414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maubeuge |
E228647
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Arnaud Decagny
Arnaud Decagny is a French local politician who serves as the mayor of the northern town of Maubeuge.
|
E815878
|
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: Arnaud Decagny | Statement: [Maubeuge, hasMayor, Arnaud Decagny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arnaud Decagny Context triple: [Maubeuge, hasMayor, Arnaud Decagny]
-
A.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
-
B.
Arnaud Péricard
Arnaud Péricard is a French politician and lawyer known for serving as the mayor of the affluent Parisian suburb of Saint-Germain-en-Laye.
-
C.
François Dagnaud
François Dagnaud is a French politician who has served as the mayor of Paris’s 19th arrondissement.
-
D.
Julien Barbagallo
Julien Barbagallo is a French drummer and musician best known for performing as the live drummer for the psychedelic music project Tame Impala.
-
E.
Matthieu Rougé
Matthieu Rougé is a French Roman Catholic prelate who serves as the bishop of the Diocese of Nanterre.
- 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: Arnaud Decagny Triple: [Maubeuge, hasMayor, Arnaud Decagny]
Generated description
Arnaud Decagny is a French local politician who serves as the mayor of the northern town of Maubeuge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arnaud Decagny Target entity description: Arnaud Decagny is a French local politician who serves as the mayor of the northern town of Maubeuge.
-
A.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
-
B.
Arnaud Péricard
Arnaud Péricard is a French politician and lawyer known for serving as the mayor of the affluent Parisian suburb of Saint-Germain-en-Laye.
-
C.
François Dagnaud
François Dagnaud is a French politician who has served as the mayor of Paris’s 19th arrondissement.
-
D.
Julien Barbagallo
Julien Barbagallo is a French drummer and musician best known for performing as the live drummer for the psychedelic music project Tame Impala.
-
E.
Matthieu Rougé
Matthieu Rougé is a French Roman Catholic prelate who serves as the bishop of the Diocese of Nanterre.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8018645c8190823d82a93635b345 |
completed | April 1, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f5cd12881909fb1524a972448ee |
completed | April 4, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69d1a00183e08190ab6588b67eff9104 |
completed | April 4, 2026, 11:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a05a78808190b441a3768b85cb55 |
completed | April 4, 2026, 11:35 p.m. |
Created at: March 30, 2026, 7:54 p.m.