ACM SIGMETRICS Rising Star Research Award
E78099
The ACM SIGMETRICS Rising Star Research Award is a distinction given by the ACM SIGMETRICS community to recognize outstanding early-career researchers in the field of computer systems performance evaluation and measurement.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ACM SIGMETRICS Rising Star Research Award canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T620567 — 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: ACM SIGMETRICS Rising Star Research Award Context triple: [ACM SIGMETRICS, hasAward, ACM SIGMETRICS Rising Star Research Award]
-
A.
ACM SIGMETRICS Achievement Award
The ACM SIGMETRICS Achievement Award is a prestigious honor recognizing outstanding contributions to the field of computer systems performance evaluation and measurement.
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B.
SIGCOMM Award
The SIGCOMM Award is a prestigious annual honor presented by the ACM SIGCOMM community to individuals who have made outstanding lifetime contributions to the field of computer networking and communications.
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C.
ACM SIGMOD Innovations Award
The ACM SIGMOD Innovations Award is a prestigious annual honor recognizing individuals who have made pioneering and highly influential contributions to the field of data management and database systems.
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D.
ACM SIGMOD Jim Gray Dissertation Award
The ACM SIGMOD Jim Gray Dissertation Award is a prestigious annual honor recognizing the best doctoral thesis in the field of data management and database systems.
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E.
ACM SIGPLAN Robin Milner Young Researcher Award
The ACM SIGPLAN Robin Milner Young Researcher Award is a prestigious annual honor recognizing outstanding early-career contributions to the field of programming languages.
- 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: ACM SIGMETRICS Rising Star Research Award Target entity description: The ACM SIGMETRICS Rising Star Research Award is a distinction given by the ACM SIGMETRICS community to recognize outstanding early-career researchers in the field of computer systems performance evaluation and measurement.
-
A.
ACM SIGMETRICS Achievement Award
The ACM SIGMETRICS Achievement Award is a prestigious honor recognizing outstanding contributions to the field of computer systems performance evaluation and measurement.
-
B.
SIGCOMM Award
The SIGCOMM Award is a prestigious annual honor presented by the ACM SIGCOMM community to individuals who have made outstanding lifetime contributions to the field of computer networking and communications.
-
C.
ACM SIGMOD Innovations Award
The ACM SIGMOD Innovations Award is a prestigious annual honor recognizing individuals who have made pioneering and highly influential contributions to the field of data management and database systems.
-
D.
ACM SIGMOD Jim Gray Dissertation Award
The ACM SIGMOD Jim Gray Dissertation Award is a prestigious annual honor recognizing the best doctoral thesis in the field of data management and database systems.
-
E.
ACM SIGPLAN Robin Milner Young Researcher Award
The ACM SIGPLAN Robin Milner Young Researcher Award is a prestigious annual honor recognizing outstanding early-career contributions to the field of programming languages.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
academic award
ⓘ
early-career award ⓘ research award ⓘ |
| areaOfRecognition |
computer systems performance
ⓘ
performance evaluation ⓘ performance measurement ⓘ |
| associatedWith |
ACM SIGMETRICS conference
ⓘ
linked to:
ACM SIGMETRICS
|
| awardingBody |
ACM SIGMETRICS
ⓘ
Association for Computing Machinery ⓘ |
| community | ACM SIGMETRICS community ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| discipline | computer science ⓘ |
| eligibilityCriterion | early-career status ⓘ |
| field |
computer systems performance evaluation
ⓘ
computer systems performance measurement ⓘ |
| organizationTypeOfAwarder | professional association ⓘ |
| purpose |
to honor contributions in performance evaluation of computer systems
ⓘ
to honor contributions in performance measurement of computer systems ⓘ to recognize outstanding early-career researchers ⓘ |
| recognizes | outstanding research contributions ⓘ |
| sponsor |
ACM SIGMETRICS
ⓘ
Association for Computing Machinery ⓘ |
| targetGroup | early-career researchers ⓘ |
| topic |
measurement methodologies for computer systems
ⓘ
modeling of computer systems performance ⓘ performance analysis of computer systems ⓘ |
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: ACM SIGMETRICS Rising Star Research Award Description of subject: The ACM SIGMETRICS Rising Star Research Award is a distinction given by the ACM SIGMETRICS community to recognize outstanding early-career researchers in the field of computer systems performance evaluation and measurement.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.