Triple
T19285308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacques Chaban-Delmas |
E482293
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Michelle Chaban-Delmas
Michelle Chaban-Delmas was the wife of French politician and former Prime Minister Jacques Chaban-Delmas and a figure in French political and social circles.
|
E1370012
|
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: Michelle Chaban-Delmas | Statement: [Jacques Chaban-Delmas, spouse, Michelle Chaban-Delmas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Chaban-Delmas Context triple: [Jacques Chaban-Delmas, spouse, Michelle Chaban-Delmas]
-
A.
Paulette Morisset
Paulette Morisset is known primarily as the daughter of André Morisset.
-
B.
Patricia Charbonnet
Patricia Charbonnet is a film producer best known for her work on the influential 1995 comedy "Friday."
-
C.
Caroline Champetier
Caroline Champetier is a renowned French cinematographer known for her visually distinctive work on numerous art-house and international films.
-
D.
Jacqueline Belhomme
Jacqueline Belhomme is a French politician who serves as the mayor of the Paris suburb of Malakoff.
-
E.
Nancy Dussault
Nancy Dussault is an American actress and singer best known for her work on Broadway and in television sitcoms, including the series "Too Close for Comfort."
- 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: Michelle Chaban-Delmas Triple: [Jacques Chaban-Delmas, spouse, Michelle Chaban-Delmas]
Generated description
Michelle Chaban-Delmas was the wife of French politician and former Prime Minister Jacques Chaban-Delmas and a figure in French political and social circles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michelle Chaban-Delmas Target entity description: Michelle Chaban-Delmas was the wife of French politician and former Prime Minister Jacques Chaban-Delmas and a figure in French political and social circles.
-
A.
Paulette Morisset
Paulette Morisset is known primarily as the daughter of André Morisset.
-
B.
Patricia Charbonnet
Patricia Charbonnet is a film producer best known for her work on the influential 1995 comedy "Friday."
-
C.
Caroline Champetier
Caroline Champetier is a renowned French cinematographer known for her visually distinctive work on numerous art-house and international films.
-
D.
Jacqueline Belhomme
Jacqueline Belhomme is a French politician who serves as the mayor of the Paris suburb of Malakoff.
-
E.
Nancy Dussault
Nancy Dussault is an American actress and singer best known for her work on Broadway and in television sitcoms, including the series "Too Close for Comfort."
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc0152d48190b92272d4c7caa708 |
completed | April 20, 2026, 10:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071bd02ad48190b6115695a19ecb42 |
completed | May 15, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_6a071c49618c8190ab31476bcc5aab10 |
completed | May 15, 2026, 1:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071cb4a8d0819087747464bb88e459 |
completed | May 15, 2026, 1:16 p.m. |
Created at: April 10, 2026, 1:30 p.m.