Triple
T11723013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanislas Guerini |
E278685
|
entity |
| Predicate | appointedBy |
P257
|
FINISHED |
| Object | Élisabeth Borne |
E668854
|
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: Élisabeth Borne | Statement: [Stanislas Guerini, appointedBy, Élisabeth Borne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Élisabeth Borne Context triple: [Stanislas Guerini, appointedBy, Élisabeth Borne]
-
A.
Élisabeth Borne
chosen
Élisabeth Borne is a French politician and engineer who served as Prime Minister of France from 2022 to 2024 under President Emmanuel Macron.
-
B.
Nathalie Kosciusko-Morizet
Nathalie Kosciusko-Morizet is a French politician and former minister known for her roles in center-right governments and her advocacy on environmental and digital issues.
-
C.
Brigitte Ayrault
Brigitte Ayrault is a French educator and public figure best known as the wife of former Prime Minister Jean-Marc Ayrault.
-
D.
Édouard Philippe
Édouard Philippe is a French politician who served as Prime Minister of France from 2017 to 2020 under President Emmanuel Macron.
-
E.
Roselyne Bachelot
Roselyne Bachelot is a French politician and former government minister known for her roles in health and culture portfolios and her long career within the French center-right.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c373088190bc2ae77a1696d280 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83c8ac2c8190b3bba7db42734f3a |
completed | April 27, 2026, 3:42 p.m. |
Created at: April 8, 2026, 9:40 p.m.