Triple
T13856658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Plessis-Pâté |
E333082
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Sylvine Thomassin
Sylvine Thomassin is a French local politician who has served as mayor of the commune of Le Plessis-Pâté.
|
E1110279
|
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: Sylvine Thomassin | Statement: [Le Plessis-Pâté, hasMayor, Sylvine Thomassin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvine Thomassin Context triple: [Le Plessis-Pâté, hasMayor, Sylvine Thomassin]
-
A.
Nathalie Soulié
Nathalie Soulié is a French woman best known as the former spouse of politician and ex–Prime Minister of France Manuel Valls.
-
B.
Jeanne Vaubernier
Jeanne Vaubernier, better known as Madame du Barry, was the last maîtresse-en-titre of King Louis XV of France and a prominent figure of the late Ancien Régime.
-
C.
Sylvie Gaucher
Sylvie Gaucher is a French local politician serving as the mayor of the commune of Guilherand-Granges.
-
D.
Sylviane Alaux
Sylviane Alaux is a French politician known for her involvement in centrist and independent political movements.
-
E.
Suzanne Déchevaux-Dumesnil
Suzanne Déchevaux-Dumesnil was a French tennis player and longtime partner and later wife of writer Samuel Beckett, known for her crucial support of his life and work.
- 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: Sylvine Thomassin Triple: [Le Plessis-Pâté, hasMayor, Sylvine Thomassin]
Generated description
Sylvine Thomassin is a French local politician who has served as mayor of the commune of Le Plessis-Pâté.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sylvine Thomassin Target entity description: Sylvine Thomassin is a French local politician who has served as mayor of the commune of Le Plessis-Pâté.
-
A.
Nathalie Soulié
Nathalie Soulié is a French woman best known as the former spouse of politician and ex–Prime Minister of France Manuel Valls.
-
B.
Jeanne Vaubernier
Jeanne Vaubernier, better known as Madame du Barry, was the last maîtresse-en-titre of King Louis XV of France and a prominent figure of the late Ancien Régime.
-
C.
Sylvie Gaucher
Sylvie Gaucher is a French local politician serving as the mayor of the commune of Guilherand-Granges.
-
D.
Sylviane Alaux
Sylviane Alaux is a French politician known for her involvement in centrist and independent political movements.
-
E.
Suzanne Déchevaux-Dumesnil
Suzanne Déchevaux-Dumesnil was a French tennis player and longtime partner and later wife of writer Samuel Beckett, known for her crucial support of his life and work.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda9009ce88190b77c8f02f38107e1 |
completed | May 8, 2026, 9:12 a.m. |
| NEDg | Description generation | batch_69fdb2eea66481908009c79d779734a6 |
completed | May 8, 2026, 9:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb3b24320819098dd7fab0c3a0507 |
completed | May 8, 2026, 9:58 a.m. |
Created at: April 9, 2026, 10:14 p.m.