Triple
T20864679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georges Simenon |
E513720
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Regine Renchon
Régine Renchon was the wife of Belgian novelist Georges Simenon and a significant figure in his personal and literary life.
|
E1453499
|
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: Regine Renchon | Statement: [Georges Simenon, spouse, Regine Renchon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regine Renchon Context triple: [Georges Simenon, spouse, Regine Renchon]
-
A.
Mireille Soria
Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
-
B.
Carine Reggiani
Carine Reggiani is known primarily as the daughter of renowned Italian-French actor and singer Serge Reggiani.
-
C.
Sandrine Kiberlain
Sandrine Kiberlain is a French actress and singer known for her acclaimed performances in both dramatic and comedic films.
-
D.
Laurette Luez
Laurette Luez was an American actress and model best known for her roles in film noir and adventure films during the 1940s and 1950s.
-
E.
Brigitte Marie-Claude Trogneux
Brigitte Marie-Claude Trogneux is a French former teacher and the First Lady of France, married to President Emmanuel Macron.
- 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: Regine Renchon Triple: [Georges Simenon, spouse, Regine Renchon]
Generated description
Régine Renchon was the wife of Belgian novelist Georges Simenon and a significant figure in his personal and literary life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Regine Renchon Target entity description: Régine Renchon was the wife of Belgian novelist Georges Simenon and a significant figure in his personal and literary life.
-
A.
Mireille Soria
Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
-
B.
Carine Reggiani
Carine Reggiani is known primarily as the daughter of renowned Italian-French actor and singer Serge Reggiani.
-
C.
Sandrine Kiberlain
Sandrine Kiberlain is a French actress and singer known for her acclaimed performances in both dramatic and comedic films.
-
D.
Laurette Luez
Laurette Luez was an American actress and model best known for her roles in film noir and adventure films during the 1940s and 1950s.
-
E.
Brigitte Marie-Claude Trogneux
Brigitte Marie-Claude Trogneux is a French former teacher and the First Lady of France, married to President Emmanuel Macron.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45e51f08190ac1ff59280ad741b |
completed | April 21, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090b12e6ac8190a4b5e99a140d806b |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090c00cab88190b2cc2d5410455e9a |
completed | May 17, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090cf5157c8190b311114c8f41dfa2 |
completed | May 17, 2026, 12:33 a.m. |
Created at: April 16, 2026, 12:44 p.m.