MEV-1
E402941
MEV-1 is a fictional, highly lethal and fast-spreading respiratory virus depicted in the 2011 film "Contagion," used to portray a realistic global pandemic scenario.
All labels observed (1)
| Label | Occurrences |
|---|---|
| MEV-1 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3955801 — 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: MEV-1 Context triple: [Contagion (2011 film), featuresFictionalVirus, MEV-1]
-
A.
The Merge
The Merge was Ethereum’s landmark transition from proof-of-work to proof-of-stake consensus, fundamentally altering its security model, energy usage, and ETH issuance dynamics.
-
B.
EIP-1559
EIP-1559 is an Ethereum protocol upgrade that restructured transaction fees by introducing a base fee that is burned and a separate tip to miners, aiming to make fees more predictable and reduce ETH supply inflation.
-
C.
MEC
MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
-
D.
Meta River
The Meta River is a major waterway in Colombia and Venezuela that drains the eastern Andes and Llanos plains before joining the Orinoco River.
-
E.
Teku
Teku is an open-source Ethereum consensus client written in Java, designed to run Ethereum proof-of-stake validators in a secure and enterprise-friendly way.
- 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: MEV-1 Target entity description: MEV-1 is a fictional, highly lethal and fast-spreading respiratory virus depicted in the 2011 film "Contagion," used to portray a realistic global pandemic scenario.
-
A.
The Merge
The Merge was Ethereum’s landmark transition from proof-of-work to proof-of-stake consensus, fundamentally altering its security model, energy usage, and ETH issuance dynamics.
-
B.
EIP-1559
EIP-1559 is an Ethereum protocol upgrade that restructured transaction fees by introducing a base fee that is burned and a separate tip to miners, aiming to make fees more predictable and reduce ETH supply inflation.
-
C.
MEC
MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
-
D.
Meta River
The Meta River is a major waterway in Colombia and Venezuela that drains the eastern Andes and Llanos plains before joining the Orinoco River.
-
E.
Teku
Teku is an open-source Ethereum consensus client written in Java, designed to run Ethereum proof-of-stake validators in a secure and enterprise-friendly way.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
fictional pathogen
ⓘ
fictional virus ⓘ |
| appearsIn |
Contagion
ⓘ
linked to:
Contagion (2011 film)
|
| associatedDirector | Steven Soderbergh ⓘ |
| causes | fictional global pandemic ⓘ |
| contagiousness | high ⓘ |
| creator | Scott Z. Burns ⓘ |
| depictedInYear | 2011 ⓘ |
| diseaseType | respiratory infection ⓘ |
| fieldOfDepiction |
epidemiology
ⓘ
virology ⓘ |
| firstOutbreakLocationInPlot |
Hong Kong
ⓘ
linked to:
Hong Kong, China
|
| genreContext | medical thriller ⓘ |
| hasGenomeTypeInFiction | RNA virus ⓘ |
| hasVaccineInPlot | yes ⓘ |
| incubationPeriod | short ⓘ |
| indexCaseInPlot | Beth Emhoff ⓘ |
| intermediateHost | pig ⓘ |
| medium | film ⓘ |
| modeledAfter |
Nipah virus
ⓘ
SARS coronavirus ⓘ
linked to:
SARS-CoV
|
| mortalityRate | high ⓘ |
| narrativeFunction | depict global pandemic ⓘ |
| narrativeTheme |
global health crisis
ⓘ
pandemic preparedness ⓘ virus transmission dynamics ⓘ |
| originStory | bat-pig recombination ⓘ |
| portrayedAs | zoonotic disease ⓘ |
| primaryHumanHost | human ⓘ |
| publicHealthResponseDepicted |
contact tracing
ⓘ
mask use ⓘ quarantine measures ⓘ social distancing ⓘ |
| reservoirSpecies | bat ⓘ |
| riskCategoryInFiction | biosafety level 4-like ⓘ |
| spreadPattern | exponential growth ⓘ |
| symptom |
cough
ⓘ
fever ⓘ respiratory distress ⓘ seizures ⓘ |
| transmissionRoute |
aerosols
ⓘ
fomites ⓘ respiratory droplets ⓘ |
| usedFor | pandemic simulation narrative ⓘ |
| usedToIllustrate |
R0 (basic reproduction number)
ⓘ
asymptomatic transmission ⓘ supply chain disruption ⓘ vaccine allocation ethics ⓘ |
| vaccineDevelopmentDepictedAs | rapid but constrained ⓘ |
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: MEV-1 Description of subject: MEV-1 is a fictional, highly lethal and fast-spreading respiratory virus depicted in the 2011 film "Contagion," used to portray a realistic global pandemic scenario.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.