Triple
T22835242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edict of Amboise |
E565926
|
entity |
| Predicate | negotiatedBy |
P378
|
FINISHED |
| Object | Michel de l'Hôpital |
—
|
NE NERFINISHED |
How this triple was built (3 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: Michel de l'Hôpital | Statement: [Edict of Amboise, negotiatedBy, Michel de l'Hôpital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel de l'Hôpital Context triple: [Edict of Amboise, negotiatedBy, Michel de l'Hôpital]
-
A.
Guillaume de l’Hôpital
Guillaume de l’Hôpital was a French mathematician best known for L’Hôpital’s rule, a fundamental method for evaluating indeterminate limits in calculus.
-
B.
Antoine de Phélippeaux
Antoine de Phélippeaux was a French royalist artillery officer best known for his crucial role in organizing the defense that thwarted Napoleon Bonaparte’s siege of Acre in 1799.
-
C.
Jean Baillet
Jean Baillet was a Roman Catholic prelate who served as bishop of the historic Diocese of Auxerre in France.
-
D.
Pierre-Charles Le Sueur
Pierre-Charles Le Sueur was a French explorer and fur trader active in the late 17th and early 18th centuries, known for his expeditions along the Mississippi River and into the Upper Midwest region of North America.
-
E.
Pierre Le Brun
Pierre Le Brun is a notable individual who bears the surname Lebrun, recognized for contributions associated with that name.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michel de l'Hôpital Target entity description: Michel de l'Hôpital was a 16th-century French statesman and chancellor known for his moderate, conciliatory policies during the French Wars of Religion.
-
A.
Guillaume de l’Hôpital
Guillaume de l’Hôpital was a French mathematician best known for L’Hôpital’s rule, a fundamental method for evaluating indeterminate limits in calculus.
-
B.
Antoine de Phélippeaux
Antoine de Phélippeaux was a French royalist artillery officer best known for his crucial role in organizing the defense that thwarted Napoleon Bonaparte’s siege of Acre in 1799.
-
C.
Jean Baillet
Jean Baillet was a Roman Catholic prelate who served as bishop of the historic Diocese of Auxerre in France.
-
D.
Pierre-Charles Le Sueur
Pierre-Charles Le Sueur was a French explorer and fur trader active in the late 17th and early 18th centuries, known for his expeditions along the Mississippi River and into the Upper Midwest region of North America.
-
E.
Pierre Le Brun
Pierre Le Brun is a notable individual who bears the surname Lebrun, recognized for contributions associated with that name.
- F. None of above. chosen
Provenance (2 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2e3e7481909d12dc5008136880 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:35 p.m.