Triple
T15180382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port-Vendres |
E362726
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Grégory Marty
Grégory Marty is a French local politician serving as the mayor of the Mediterranean port town of Port-Vendres.
|
E1322132
|
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: Grégory Marty | Statement: [Port-Vendres, hasMayor, Grégory Marty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grégory Marty Context triple: [Port-Vendres, hasMayor, Grégory Marty]
-
A.
Grégory Garestier
Grégory Garestier is a French local politician who serves as the mayor of the commune of Maurepas in the Yvelines department.
-
B.
Laurent Merle
Laurent Merle is a French local politician serving as the mayor of the commune of Dolomieu in southeastern France.
-
C.
Grégoire Lyonnet
Grégoire Lyonnet is a French professional dancer best known for his appearances on the TV show "Danse avec les stars" and his marriage to singer Alizée.
-
D.
Christophe Lourdelet
Christophe Lourdelet is a French animator and film director known for his work on major animated features, including co-directing the musical comedy film "Sing 2."
-
E.
Laurent Chalumeau
Laurent Chalumeau is a French writer and screenwriter known for his work in film and literature.
- 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: Grégory Marty Triple: [Port-Vendres, hasMayor, Grégory Marty]
Generated description
Grégory Marty is a French local politician serving as the mayor of the Mediterranean port town of Port-Vendres.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grégory Marty Target entity description: Grégory Marty is a French local politician serving as the mayor of the Mediterranean port town of Port-Vendres.
-
A.
Grégory Garestier
Grégory Garestier is a French local politician who serves as the mayor of the commune of Maurepas in the Yvelines department.
-
B.
Laurent Merle
Laurent Merle is a French local politician serving as the mayor of the commune of Dolomieu in southeastern France.
-
C.
Grégoire Lyonnet
Grégoire Lyonnet is a French professional dancer best known for his appearances on the TV show "Danse avec les stars" and his marriage to singer Alizée.
-
D.
Christophe Lourdelet
Christophe Lourdelet is a French animator and film director known for his work on major animated features, including co-directing the musical comedy film "Sing 2."
-
E.
Laurent Chalumeau
Laurent Chalumeau is a French writer and screenwriter known for his work in film and literature.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00664caac81909bee1268264769f8 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e224826081909acf33358b0f9fa9 |
completed | May 13, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_6a03e31092608190b3090a20c26def81 |
completed | May 13, 2026, 2:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e36ae2988190b23f841792e23652 |
completed | May 13, 2026, 2:35 a.m. |
Created at: April 10, 2026, 3:09 a.m.