Triple
T4331378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Abymes |
E96755
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Éric Jalton
Éric Jalton is a Guadeloupean politician who serves as the long-time mayor of Les Abymes, one of the largest communes in the French Caribbean.
|
E448313
|
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: Éric Jalton | Statement: [Les Abymes, hasMayor, Éric Jalton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Éric Jalton Context triple: [Les Abymes, hasMayor, Éric Jalton]
-
A.
Jean-Philippe Nault
Jean-Philippe Nault is a French Roman Catholic prelate serving as the bishop of the Diocese of Nice.
-
B.
Laurent Jouvenet
Laurent Jouvenet was a French painter of the 17th century, known as the father of the more famous Baroque artist Jean Jouvenet.
-
C.
Peter Biziou
Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
-
D.
Bertrand Fagalde
Bertrand Fagalde was a French admiral best known for his leadership of French naval forces during the Battle of Dunkirk in World War II.
-
E.
Jean-Philippe Lauer
Jean-Philippe Lauer was a French archaeologist best known for his decades-long work restoring and studying the Step Pyramid complex of Djoser at Saqqara in Egypt.
- 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: Éric Jalton Triple: [Les Abymes, hasMayor, Éric Jalton]
Generated description
Éric Jalton is a Guadeloupean politician who serves as the long-time mayor of Les Abymes, one of the largest communes in the French Caribbean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Éric Jalton Target entity description: Éric Jalton is a Guadeloupean politician who serves as the long-time mayor of Les Abymes, one of the largest communes in the French Caribbean.
-
A.
Jean-Philippe Nault
Jean-Philippe Nault is a French Roman Catholic prelate serving as the bishop of the Diocese of Nice.
-
B.
Laurent Jouvenet
Laurent Jouvenet was a French painter of the 17th century, known as the father of the more famous Baroque artist Jean Jouvenet.
-
C.
Peter Biziou
Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
-
D.
Bertrand Fagalde
Bertrand Fagalde was a French admiral best known for his leadership of French naval forces during the Battle of Dunkirk in World War II.
-
E.
Jean-Philippe Lauer
Jean-Philippe Lauer was a French archaeologist best known for his decades-long work restoring and studying the Step Pyramid complex of Djoser at Saqqara in Egypt.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514dc588819086a4c6d585c1b5b1 |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f60b49481908b2199544868769c |
completed | March 20, 2026, 5:09 p.m. |
| NEDg | Description generation | batch_69bd84bae7148190ae201ea5257dd43e |
completed | March 20, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd857181e4819086b7d0b493fbb9a3 |
completed | March 20, 2026, 5:35 p.m. |
Created at: March 12, 2026, 11:13 p.m.