John Law
E939182
John Law is a sociologist and science and technology studies scholar known for his work on actor-network theory and for translating key works such as Bruno Latour’s "The Pasteurization of France" into English.
All labels observed (1)
| Label | Occurrences |
|---|---|
| John Law canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T11645630 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Law Context triple: [The Pasteurization of France, translatedBy, John Law]
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A.
John Law
John Law was a Scottish economist and financier who became a powerful advisor in France, where he implemented radical monetary and banking reforms that led to the infamous Mississippi Bubble during the Regency period.
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B.
Jean-Baptiste Colbert
Jean-Baptiste Colbert was a 17th-century French statesman and finance minister under King Louis XIV, known for strengthening royal power and developing mercantilist economic policies.
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C.
Jean Colbert
Jean Colbert is a personal name most notably associated with individuals bearing the Colbert surname, though no single widely recognized historical or public figure by this exact name is prominent in major records.
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D.
Jacques Necker
Jacques Necker was an influential Swiss-born banker and statesman who served as finance minister to King Louis XVI of France in the years leading up to the French Revolution.
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E.
François-Joachim de Pierre de Bernis
François-Joachim de Pierre de Bernis was an 18th-century French cardinal, diplomat, and statesman who served as Louis XV’s foreign minister and later as ambassador to the Holy See.
- 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: John Law Target entity description: John Law is a sociologist and science and technology studies scholar known for his work on actor-network theory and for translating key works such as Bruno Latour’s "The Pasteurization of France" into English.
-
A.
John Law
John Law was a Scottish economist and financier who became a powerful advisor in France, where he implemented radical monetary and banking reforms that led to the infamous Mississippi Bubble during the Regency period.
-
B.
Jean-Baptiste Colbert
Jean-Baptiste Colbert was a 17th-century French statesman and finance minister under King Louis XIV, known for strengthening royal power and developing mercantilist economic policies.
-
C.
Jean Colbert
Jean Colbert is a personal name most notably associated with individuals bearing the Colbert surname, though no single widely recognized historical or public figure by this exact name is prominent in major records.
-
D.
Jacques Necker
Jacques Necker was an influential Swiss-born banker and statesman who served as finance minister to King Louis XVI of France in the years leading up to the French Revolution.
-
E.
François-Joachim de Pierre de Bernis
François-Joachim de Pierre de Bernis was an 18th-century French cardinal, diplomat, and statesman who served as Louis XV’s foreign minister and later as ambassador to the Holy See.
- F. None of above. chosen
Statements (38)
| Predicate | Object |
|---|---|
| instanceOf |
human
ⓘ
science and technology studies scholar ⓘ sociologist ⓘ |
| citizenship | United Kingdom ⓘ |
| fieldOfWork |
actor-network theory
ⓘ
science and technology studies ⓘ sociology ⓘ |
| hasGender | male ⓘ |
| hasNotableConcept |
after method
ⓘ
heterogeneous engineering ⓘ modes of ordering ⓘ |
| hasNotableWork |
"Actor Network Theory and After"
ⓘ
"After Method: Mess in Social Science Research" ⓘ "Aircraft Stories: Decentering the Object in Technoscience" ⓘ "Organizing Modernity" ⓘ "Power, Action and Belief: A New Sociology of Knowledge" ⓘ "The Sociology of Monsters: Essays on Power, Technology and Domination" ⓘ |
| influenced |
actor-network theory scholarship
ⓘ
science and technology studies ⓘ |
| influencedBy |
Bruno Latour
ⓘ
Michel Callon ⓘ |
| knownFor |
contributions to actor-network theory
ⓘ
translation of Bruno Latour’s "The Pasteurization of France" into English ⓘ work in science and technology studies ⓘ |
| languageOfTranslation | English ⓘ |
| nationality | British ⓘ |
| occupation |
academic
ⓘ
university professor ⓘ |
| researchInterest |
material-semiotic analysis
ⓘ
methodology in social science ⓘ organizational studies ⓘ post-ANT approaches ⓘ technology and society ⓘ |
| theoreticalApproach |
actor-network theory
ⓘ
post-structuralism in sociology ⓘ |
| translatedAuthor | Bruno Latour ⓘ |
| translatedWork |
"The Pasteurization of France"
ⓘ
linked to:
The Pasteurization of France
|
| writesInLanguage | English ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: John Law Description of subject: John Law is a sociologist and science and technology studies scholar known for his work on actor-network theory and for translating key works such as Bruno Latour’s "The Pasteurization of France" into English.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.