employer
P7
predicate
Indicates a relationship where one entity hires, pays, and oversees the work of another entity.
All labels observed (44)
| Label | Occurrences |
|---|---|
| employer canonical | 72,899 |
| workLocation | 50,883 |
| employs | 23,308 |
| employerOf | 4,508 |
| employed | 1,808 |
| worksAt | 1,346 |
| workedAt | 822 |
| employedBy | 801 |
| hasEmployer | 696 |
| employ | 111 |
| employerOrClient | 90 |
| protagonistEmployer | 53 |
| employerOrAffiliation | 23 |
| mainCharacterEmployer | 15 |
| leadCharacterEmployer | 12 |
| employee | 11 |
| employerOrPatron | 9 |
| primaryEmployer | 8 |
| compensationFrom | 7 |
| authorEmployer | 6 |
| hostEmployer | 5 |
| salaryPayer | 5 |
| employerCounterparty | 4 |
| employerFor | 4 |
| employerOfProtagonist | 4 |
| holderEmployer | 4 |
| postRetirementEmployer | 4 |
| bearerEmployer | 3 |
| creatorEmployer | 3 |
| 勤務先 | 3 |
| crewEmployer | 2 |
| employerOfUser | 2 |
| civilianEmployer | 1 |
| employerDuringEvent | 1 |
| employerOfVictim | 1 |
| employerOrAppointer | 1 |
| employerOrContractorFor | 1 |
| employerOrPrincipal | 1 |
| employerOwner | 1 |
| employers | 1 |
| householdStaffEmployer | 1 |
| userEmployer | 1 |
| מעסיק_של | 1 |
| المشغل | 1 |
Description generation (PDg)
The one-sentence description above was generated by prompting gpt-5.1 with the predicate name and this instruction.
Instruction
Given a predicate that represents a relationship or action between entities, generate a one-sentence description explaining its meaning. # Instructions Focus on describing the relationship, not the entities themselves. # Response Format Begin the description with \' Indicates...\'
Input
Predicate: employer
Generated description
Indicates a relationship where one entity hires, pays, and oversees the work of another entity.
Sample triples (157,471)
| Subject | Object |
|---|---|
| National Weather Service | hydrologists via predicate surface "employs" ⓘ |
| National Weather Service | climatologists via predicate surface "employs" ⓘ |
| National Weather Service | IT specialists via predicate surface "employs" ⓘ |
| Wikimedia Foundation | software engineers via predicate surface "employs" ⓘ |
| Wikimedia Foundation | community advocates via predicate surface "employs" ⓘ |
| Wikimedia Foundation | legal staff via predicate surface "employs" ⓘ |
| Wikimedia Foundation | fundraising staff via predicate surface "employs" ⓘ |
| Edgar Allan Poe |
Baltimore
via predicate surface "workLocation"
ⓘ
surface form:
Baltimore, Maryland, United States
|
| Edgar Allan Poe |
Richmond, Virginia
via predicate surface "workLocation"
ⓘ
surface form:
Richmond, Virginia, United States
|
| Edgar Allan Poe |
Philadelphia
via predicate surface "workLocation"
ⓘ
surface form:
Philadelphia, Pennsylvania, United States
|
| Edgar Allan Poe |
New York City
via predicate surface "workLocation"
ⓘ
surface form:
New York City, New York, United States
|
| Blitzkrieg campaigns | tanks via predicate surface "employed" ⓘ |
| Blitzkrieg campaigns | motorized infantry via predicate surface "employed" ⓘ |
| Blitzkrieg campaigns | mechanized infantry via predicate surface "employed" ⓘ |
| Blitzkrieg campaigns | tactical bombers via predicate surface "employed" ⓘ |
| Blitzkrieg campaigns | dive bombers via predicate surface "employed" ⓘ |
| Blitzkrieg campaigns | close air support aircraft via predicate surface "employed" ⓘ |
| Blitzkrieg campaigns | mobile artillery via predicate surface "employed" ⓘ |
| Blitzkrieg campaigns | radio communications for coordination via predicate surface "employed" ⓘ |
| Royal Australian Air Force | Chief of Air Force ⓘ |
| Pinkerton National Detective Agency | Kate Warne via predicate surface "employed" ⓘ |
|
Chicago police
surface form:
Chicago Police Department
|
Chicago police officers via predicate surface "employerOf" ⓘ |
| Los Angeles deputy district attorney | Los Angeles County District Attorney's Office via predicate surface "employedBy" ⓘ |
| Division of Economic and Risk Analysis | economists ⓘ |
| Division of Economic and Risk Analysis | financial analysts ⓘ |
| Division of Economic and Risk Analysis | data scientists ⓘ |
| Division of Economic and Risk Analysis | statisticians ⓘ |
| Division of Economic and Risk Analysis | research analysts ⓘ |
| Division of Economic and Risk Analysis | policy analysts ⓘ |
| Division of Economic and Risk Analysis | quantitative analysts ⓘ |
| Division of Economic and Risk Analysis | lawyers ⓘ |
| Alexey Stakhanov | Soviet coal industry ⓘ |
| Alexey Stakhanov | Donbas via predicate surface "workLocation" ⓘ |
| Alexey Stakhanov | Soviet Union via predicate surface "workLocation" ⓘ |
| Augustin-Jean Fresnel | French Commission of Lighthouses ⓘ |
| Augustin-Jean Fresnel | Paris via predicate surface "workLocation" ⓘ |
| Stonewall Jackson | Virginia Military Institute ⓘ |
| family courts of Japan | judges via predicate surface "employs" ⓘ |
| family courts of Japan | family court probation officers via predicate surface "employs" ⓘ |
| family courts of Japan | family court investigators via predicate surface "employs" ⓘ |
| family courts of Japan | court clerks via predicate surface "employs" ⓘ |
| Lily Aldridge | Victoria’s Secret ⓘ |
| Office of Intergovernmental Affairs | Director of Intergovernmental Affairs via predicate surface "employs" ⓘ |
| Office of the Mayor of Portland | mayoral staff via predicate surface "employs" ⓘ |
| Office of the Mayor of Portland | policy advisors via predicate surface "employs" ⓘ |
| Office of the Mayor of Portland | communications staff via predicate surface "employs" ⓘ |
| Office of the Mayor of Portland | administrative staff via predicate surface "employs" ⓘ |
| Portland Police Bureau | police officers via predicate surface "employerOf" ⓘ |
| Portland Police Bureau | civilian staff via predicate surface "employerOf" ⓘ |
| Jared Diamond | University of California, Los Angeles ⓘ |