Triple
T18369669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Couëron |
E446146
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Carole Grelaud
Carole Grelaud is a French local politician serving as the mayor of the commune of Couëron in western France.
|
E1348257
|
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: Carole Grelaud | Statement: [Couëron, hasMayor, Carole Grelaud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carole Grelaud Context triple: [Couëron, hasMayor, Carole Grelaud]
-
A.
Jeannine Guillou
Jeannine Guillou was a French painter and the first wife and close artistic companion of the Russian-born French artist Nicolas de Staël.
-
B.
Sylviane Alaux
Sylviane Alaux is a French politician known for her involvement in centrist and independent political movements.
-
C.
Michèle Delaunay
Michèle Delaunay is a French politician and former government minister known for her work in public health and social policy.
-
D.
Valérie Dréville
Valérie Dréville is a French actress known for her work in both film and theatre, particularly in auteur-driven and art-house productions.
-
E.
Françoise Noguès
Françoise Noguès is a French physician best known as the mother of Brigitte Macron, the First Lady of France.
- 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: Carole Grelaud Triple: [Couëron, hasMayor, Carole Grelaud]
Generated description
Carole Grelaud is a French local politician serving as the mayor of the commune of Couëron in western France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carole Grelaud Target entity description: Carole Grelaud is a French local politician serving as the mayor of the commune of Couëron in western France.
-
A.
Jeannine Guillou
Jeannine Guillou was a French painter and the first wife and close artistic companion of the Russian-born French artist Nicolas de Staël.
-
B.
Sylviane Alaux
Sylviane Alaux is a French politician known for her involvement in centrist and independent political movements.
-
C.
Michèle Delaunay
Michèle Delaunay is a French politician and former government minister known for her work in public health and social policy.
-
D.
Valérie Dréville
Valérie Dréville is a French actress known for her work in both film and theatre, particularly in auteur-driven and art-house productions.
-
E.
Françoise Noguès
Françoise Noguès is a French physician best known as the mother of Brigitte Macron, the First Lady of France.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51751e4288190873bcc4dc140ac16 |
completed | April 19, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05829917e4819093dc8ae6ed4cdb6a |
completed | May 14, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_6a05885e976c81909ca84e84920dcc2d |
completed | May 14, 2026, 8:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0588d5399081908a959f47a7ea74d7 |
completed | May 14, 2026, 8:33 a.m. |
Created at: April 10, 2026, 10:43 a.m.