Triple
T17770488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vauvert |
E443622
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Jean Denat
Jean Denat is a French local politician who has served as the mayor of the town of Vauvert in southern France.
|
E1304824
|
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: Jean Denat | Statement: [Vauvert, hasMayor, Jean Denat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Denat Context triple: [Vauvert, hasMayor, Jean Denat]
-
A.
Denis Carot
Denis Carot is a film producer known for his work on the French animated feature "Home" and other cinematic projects.
-
B.
Jean-Noël Duclos
Jean-Noël Duclos is a French local politician who serves as the mayor of the commune of Survilliers in northern France.
-
C.
Denis Ménochet
Denis Ménochet is a French actor known for his intense screen presence in films such as Inglourious Basterds, Custody, and various international productions.
-
D.
Jean-Marie Bonnassieux
Jean-Marie Bonnassieux was a 19th-century French sculptor known for his religious and monumental works in stone and bronze.
-
E.
Jean-Pierre Brisset
Jean-Pierre Brisset was a French autodidact, writer, and eccentric linguist whose bizarre theories about language and the origins of humanity later made him a celebrated precursor of Surrealism.
- 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: Jean Denat Triple: [Vauvert, hasMayor, Jean Denat]
Generated description
Jean Denat is a French local politician who has served as the mayor of the town of Vauvert in southern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean Denat Target entity description: Jean Denat is a French local politician who has served as the mayor of the town of Vauvert in southern France.
-
A.
Denis Carot
Denis Carot is a film producer known for his work on the French animated feature "Home" and other cinematic projects.
-
B.
Jean-Noël Duclos
Jean-Noël Duclos is a French local politician who serves as the mayor of the commune of Survilliers in northern France.
-
C.
Denis Ménochet
Denis Ménochet is a French actor known for his intense screen presence in films such as Inglourious Basterds, Custody, and various international productions.
-
D.
Jean-Marie Bonnassieux
Jean-Marie Bonnassieux was a 19th-century French sculptor known for his religious and monumental works in stone and bronze.
-
E.
Jean-Pierre Brisset
Jean-Pierre Brisset was a French autodidact, writer, and eccentric linguist whose bizarre theories about language and the origins of humanity later made him a celebrated precursor of Surrealism.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485ff928481909fe32260ba57978f |
completed | April 19, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035d76eb3c81908d7b7a770a47f725 |
completed | May 12, 2026, 5:03 p.m. |
| NEDg | Description generation | batch_6a03633013148190b597d2ee923131d9 |
completed | May 12, 2026, 5:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0363b88210819098837b6e08083ac0 |
completed | May 12, 2026, 5:30 p.m. |
Created at: April 10, 2026, 10:11 a.m.