Mycobacterium chelonae
E933153
Mycobacterium chelonae is a rapidly growing nontuberculous mycobacterial species that can cause skin, soft tissue, and ocular infections in humans, often associated with trauma or medical procedures.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mycobacterium chelonae canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11466500 — 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: Mycobacterium chelonae Context triple: [Mycobacterium, includesSpecies, Mycobacterium chelonae]
-
A.
Mycobacterium fortuitum
Mycobacterium fortuitum is a rapidly growing, nontuberculous mycobacterial species that can cause opportunistic skin, soft tissue, and device-related infections in humans.
-
B.
Mycobacterium marinum
Mycobacterium marinum is a waterborne, slow-growing, non-tuberculous mycobacterial species that commonly infects fish and can cause skin and soft tissue infections in humans, especially after exposure to aquariums or natural bodies of water.
-
C.
Mycobacterium kansasii
Mycobacterium kansasii is a slow-growing, non-tuberculous mycobacterial species that commonly causes pulmonary infections resembling tuberculosis, particularly in immunocompromised individuals.
-
D.
Rhodococcus
Rhodococcus is a genus of Gram-positive, often soil-dwelling bacteria known for their ability to degrade a wide range of organic compounds, including environmental pollutants.
-
E.
Mycobacterium abscessus
Mycobacterium abscessus is a rapidly growing, opportunistic nontuberculous mycobacterial species that commonly causes difficult-to-treat lung, skin, and soft tissue infections, particularly in individuals with underlying lung disease or weakened immune systems.
- 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: Mycobacterium chelonae Target entity description: Mycobacterium chelonae is a rapidly growing nontuberculous mycobacterial species that can cause skin, soft tissue, and ocular infections in humans, often associated with trauma or medical procedures.
-
A.
Mycobacterium fortuitum
Mycobacterium fortuitum is a rapidly growing, nontuberculous mycobacterial species that can cause opportunistic skin, soft tissue, and device-related infections in humans.
-
B.
Mycobacterium marinum
Mycobacterium marinum is a waterborne, slow-growing, non-tuberculous mycobacterial species that commonly infects fish and can cause skin and soft tissue infections in humans, especially after exposure to aquariums or natural bodies of water.
-
C.
Mycobacterium kansasii
Mycobacterium kansasii is a slow-growing, non-tuberculous mycobacterial species that commonly causes pulmonary infections resembling tuberculosis, particularly in immunocompromised individuals.
-
D.
Rhodococcus
Rhodococcus is a genus of Gram-positive, often soil-dwelling bacteria known for their ability to degrade a wide range of organic compounds, including environmental pollutants.
-
E.
Mycobacterium abscessus
Mycobacterium abscessus is a rapidly growing, opportunistic nontuberculous mycobacterial species that commonly causes difficult-to-treat lung, skin, and soft tissue infections, particularly in individuals with underlying lung disease or weakened immune systems.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
bacterial species
ⓘ
nontuberculous mycobacterium ⓘ |
| associatedWith |
catheter-related infections
ⓘ
cosmetic procedure infections ⓘ disseminated cutaneous disease in immunocompromised hosts ⓘ endophthalmitis ⓘ injection site infections ⓘ keratitis ⓘ post-surgical wound infections ⓘ post–LASIK keratitis ⓘ post–cardiac surgery infections ⓘ prosthetic device infections ⓘ pulmonary infection (rare) ⓘ skin and soft tissue infections ⓘ tattoo-associated infections ⓘ |
| biosafetyLevel | BSL-2 pathogen ⓘ |
| cellWallComponent | mycolic acids ⓘ |
| differentiatedFrom |
Mycobacterium abscessus
NERFINISHED
ⓘ
Mycobacterium fortuitum NERFINISHED ⓘ |
| domain | Bacteria ⓘ |
| environmentalHabitat |
hospital water systems
ⓘ
natural and man-made water systems ⓘ soil ⓘ water ⓘ |
| family | Mycobacteriaceae NERFINISHED ⓘ |
| genus | Mycobacterium NERFINISHED ⓘ |
| growthRate | rapidly growing mycobacterium ⓘ |
| host |
aquatic animals
ⓘ
humans ⓘ |
| isGramStain | acid-fast ⓘ |
| motility | nonmotile ⓘ |
| notableProperty |
forms smooth, nonpigmented colonies
ⓘ
grows on standard mycobacterial culture media ⓘ nontuberculous mycobacterial pathogen ⓘ often resistant to standard antituberculous drugs ⓘ opportunistic pathogen ⓘ |
| order | Corynebacteriales NERFINISHED ⓘ |
| oxygenRequirement | aerobic ⓘ |
| phylum | Actinobacteria NERFINISHED ⓘ |
| shape | rod-shaped ⓘ |
| sporeForming | non–spore-forming ⓘ |
| susceptibleTo |
macrolides such as clarithromycin
ⓘ
some aminoglycosides ⓘ some fluoroquinolones ⓘ |
| taxonRank | species ⓘ |
| transmissionRoute |
contaminated medical equipment
ⓘ
contaminated water or solutions ⓘ traumatic inoculation of skin or soft tissue ⓘ |
| treatment |
prolonged combination antibiotic therapy
ⓘ
surgical debridement for localized disease ⓘ |
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: Mycobacterium chelonae Description of subject: Mycobacterium chelonae is a rapidly growing nontuberculous mycobacterial species that can cause skin, soft tissue, and ocular infections in humans, often associated with trauma or medical procedures.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.