Mikko Tuomi
E653624
Mikko Tuomi is an astronomer known for his work in exoplanet detection and analysis, particularly around nearby Sun-like stars.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mikko Tuomi canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T7272825 — 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: Mikko Tuomi Context triple: [Tau Ceti e, discoveredBy, Mikko Tuomi]
-
A.
Sakari Tuomioja
Sakari Tuomioja was a Finnish politician and diplomat who served as Prime Minister of Finland in the 1950s and later as Governor of the Bank of Finland.
-
B.
Wiljo Tuompo
Wiljo Tuompo was a Finnish military officer best known for his leadership role during the Winter War, particularly in the defense against Soviet forces.
-
C.
Jukka Jalonen
Jukka Jalonen is a highly successful Finnish ice hockey coach best known for leading Finland’s national team to multiple World Championship and Olympic medals.
-
D.
Mikko Summanen
Mikko Summanen is a Finnish architect known for his work on prominent contemporary buildings, including the Kiasma Museum of Contemporary Art in Helsinki.
-
E.
Pekka Rantala
Pekka Rantala is a Finnish business executive best known for his leadership roles in the mobile phone industry, including co-founding HMD Global, the company behind modern Nokia-branded phones.
- 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: Mikko Tuomi Target entity description: Mikko Tuomi is an astronomer known for his work in exoplanet detection and analysis, particularly around nearby Sun-like stars.
-
A.
Sakari Tuomioja
Sakari Tuomioja was a Finnish politician and diplomat who served as Prime Minister of Finland in the 1950s and later as Governor of the Bank of Finland.
-
B.
Wiljo Tuompo
Wiljo Tuompo was a Finnish military officer best known for his leadership role during the Winter War, particularly in the defense against Soviet forces.
-
C.
Jukka Jalonen
Jukka Jalonen is a highly successful Finnish ice hockey coach best known for leading Finland’s national team to multiple World Championship and Olympic medals.
-
D.
Mikko Summanen
Mikko Summanen is a Finnish architect known for his work on prominent contemporary buildings, including the Kiasma Museum of Contemporary Art in Helsinki.
-
E.
Pekka Rantala
Pekka Rantala is a Finnish business executive best known for his leadership roles in the mobile phone industry, including co-founding HMD Global, the company behind modern Nokia-branded phones.
- F. None of above. chosen
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf | astronomer ⓘ |
| affiliation | University of Hertfordshire ⓘ |
| countryOfWork | United Kingdom ⓘ |
| fieldOfWork |
astronomy
ⓘ
exoplanet science ⓘ planetary systems ⓘ |
| hasActivity |
assessment of exoplanet signal significance
ⓘ
detection of exoplanet candidates ⓘ re-analysis of existing radial-velocity datasets ⓘ |
| hasPublicationType | peer-reviewed journal articles ⓘ |
| hasRole |
co-author of exoplanet discovery papers
ⓘ
researcher ⓘ |
| knownFor |
analysis of radial-velocity data
ⓘ
exoplanet characterization ⓘ exoplanet detection ⓘ statistical analysis of exoplanet signals ⓘ |
| languageOfScientificWork | English ⓘ |
| notableFor | contributions to the detection of planets around nearby stars ⓘ |
| researchFocus |
habitable-zone exoplanets
ⓘ
low-mass exoplanets ⓘ multi-planet systems ⓘ nearby Sun-like stars ⓘ |
| studies |
dynamical stability of planetary systems
ⓘ
noise and systematics in radial-velocity measurements ⓘ planet occurrence rates around nearby stars ⓘ |
| usesMethod |
Bayesian statistical analysis
ⓘ
radial-velocity method ⓘ time-series analysis ⓘ |
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: Mikko Tuomi Description of subject: Mikko Tuomi is an astronomer known for his work in exoplanet detection and analysis, particularly around nearby Sun-like stars.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.