Triple
T19652241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Templeuve-en-Pévèle |
E471843
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Luc Monnet
Luc Monnet is a French local politician who serves as the mayor of the commune of Templeuve-en-Pévèle in northern France.
|
E1388797
|
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: Luc Monnet | Statement: [Templeuve-en-Pévèle, hasMayor, Luc Monnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luc Monnet Context triple: [Templeuve-en-Pévèle, hasMayor, Luc Monnet]
-
A.
Franck Monnet
Franck Monnet is a French singer-songwriter and music producer known for his work in contemporary French pop and chanson.
-
B.
Jean Monnet
Jean Monnet was a French political economist and diplomat regarded as one of the founding fathers of European integration and a key architect of what became the European Union.
-
C.
Robert Schuman
Robert Schuman was a French statesman and key architect of European integration, widely regarded as one of the founding fathers of the European Union.
-
D.
Paul-Henri Spaak
Paul-Henri Spaak was a prominent Belgian statesman and one of the founding figures of both the European Union and NATO.
-
E.
Paul Ollivier
Paul Ollivier was a French actor known for his roles in early 20th-century cinema, including notable appearances in classic films of the 1930s.
- 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: Luc Monnet Triple: [Templeuve-en-Pévèle, hasMayor, Luc Monnet]
Generated description
Luc Monnet is a French local politician who serves as the mayor of the commune of Templeuve-en-Pévèle in northern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luc Monnet Target entity description: Luc Monnet is a French local politician who serves as the mayor of the commune of Templeuve-en-Pévèle in northern France.
-
A.
Franck Monnet
Franck Monnet is a French singer-songwriter and music producer known for his work in contemporary French pop and chanson.
-
B.
Jean Monnet
Jean Monnet was a French political economist and diplomat regarded as one of the founding fathers of European integration and a key architect of what became the European Union.
-
C.
Robert Schuman
Robert Schuman was a French statesman and key architect of European integration, widely regarded as one of the founding fathers of the European Union.
-
D.
Paul-Henri Spaak
Paul-Henri Spaak was a prominent Belgian statesman and one of the founding figures of both the European Union and NATO.
-
E.
Paul Ollivier
Paul Ollivier was a French actor known for his roles in early 20th-century cinema, including notable appearances in classic films of the 1930s.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64141f61c819098fe148581fb1747 |
completed | April 20, 2026, 3:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a077eef87108190a3858836dce29341 |
completed | May 15, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a077fb5d7288190a691e312ec22789b |
completed | May 15, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07810b1de88190a2516712767fde52 |
completed | May 15, 2026, 8:24 p.m. |
Created at: April 10, 2026, 1:44 p.m.