Triple
T11391080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sévrier |
E269835
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Bruno Lyonnaz
Bruno Lyonnaz is a French local politician serving as the mayor of the commune of Sévrier in southeastern France.
|
E923161
|
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: Bruno Lyonnaz | Statement: [Sévrier, hasMayor, Bruno Lyonnaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruno Lyonnaz Context triple: [Sévrier, hasMayor, Bruno Lyonnaz]
-
A.
Benoît Régent
Benoît Régent was a French actor known for his supporting roles in European cinema, including a notable appearance in Krzysztof Kieślowski’s acclaimed film "Three Colors: Blue."
-
B.
Yannick Jauzion
Yannick Jauzion is a retired French rugby union centre renowned for his powerful running, playmaking skills, and key role in France’s national team during the 2000s.
-
C.
Gaëtan Brizzi
Gaëtan Brizzi is a French animator and film director best known for his work in animation, often in collaboration with his twin brother Paul Brizzi.
-
D.
Gilles Lellouche
Gilles Lellouche is a French actor and director known for his roles in contemporary French cinema, including thrillers and ensemble dramas.
-
E.
Laurent Landi
Laurent Landi is an elite gymnastics coach best known for coaching Olympic champion Simone Biles.
- 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: Bruno Lyonnaz Triple: [Sévrier, hasMayor, Bruno Lyonnaz]
Generated description
Bruno Lyonnaz is a French local politician serving as the mayor of the commune of Sévrier in southeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bruno Lyonnaz Target entity description: Bruno Lyonnaz is a French local politician serving as the mayor of the commune of Sévrier in southeastern France.
-
A.
Benoît Régent
Benoît Régent was a French actor known for his supporting roles in European cinema, including a notable appearance in Krzysztof Kieślowski’s acclaimed film "Three Colors: Blue."
-
B.
Yannick Jauzion
Yannick Jauzion is a retired French rugby union centre renowned for his powerful running, playmaking skills, and key role in France’s national team during the 2000s.
-
C.
Gaëtan Brizzi
Gaëtan Brizzi is a French animator and film director best known for his work in animation, often in collaboration with his twin brother Paul Brizzi.
-
D.
Gilles Lellouche
Gilles Lellouche is a French actor and director known for his roles in contemporary French cinema, including thrillers and ensemble dramas.
-
E.
Laurent Landi
Laurent Landi is an elite gymnastics coach best known for coaching Olympic champion Simone Biles.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58c8f5ed88190b9cc55c0a73993ec |
completed | April 20, 2026, 2:16 a.m. |
| NEDg | Description generation | batch_69e5932d3cb88190807acdcdc3aaa9fc |
completed | April 20, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e59a0ab7e081908cb8761c4f82c664 |
completed | April 20, 2026, 3:14 a.m. |
Created at: April 8, 2026, 9:34 p.m.