Triple
T7367198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brigitte Macron |
E169899
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Brigitte Trogneux |
E160755
|
NE FINISHED |
How this triple was built (2 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: Brigitte Trogneux | Statement: [Brigitte Macron, knownAs, Brigitte Trogneux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brigitte Trogneux Context triple: [Brigitte Macron, knownAs, Brigitte Trogneux]
-
A.
Nelly Auteuil
Nelly Auteuil is the daughter of French actor and filmmaker Daniel Auteuil.
-
B.
Brigitte Marie-Claude Trogneux
chosen
Brigitte Marie-Claude Trogneux is a French former teacher and the First Lady of France, married to President Emmanuel Macron.
-
C.
Virginie Ledoyen
Virginie Ledoyen is a French actress known for her work in both French cinema and international films, including prominent roles in dramas and thrillers.
-
D.
Sandrine Kiberlain
Sandrine Kiberlain is a French actress and singer known for her acclaimed performances in both dramatic and comedic films.
-
E.
Élisabeth Depardieu
Élisabeth Depardieu is a French actress and film producer, known for her work in French cinema and her former marriage to actor Gérard Depardieu.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f17ea0608190955ac3474f6da7bb |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810d9717c819099122cd64f9268fc |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:06 p.m.