hasWorkedIn
P17879
predicate
Indicates that a person has been employed or has performed work within a particular organization, location, or domain for some period of time.
All labels observed (39)
| Label | Occurrences |
|---|---|
| hasWorkedIn canonical | 554 |
| hasWorkIn | 386 |
| hasExperienceIn | 310 |
| employedIn | 107 |
| workedInCountry | 72 |
| hasWorkedInMedium | 70 |
| workedInIndustry | 49 |
| employedAt | 48 |
| hasWorkedInCountry | 24 |
| hasWorkedInIndustry | 11 |
| brandWorkedFor | 7 |
| employedOn | 7 |
| работал в | 7 |
| hasOccupationInPast | 5 |
| worked in | 5 |
| hasSectorExperience | 4 |
| workedInCity | 4 |
| hasBusinessBackgroundIn | 3 |
| hasWorkInSector | 3 |
| hasWorkPerformedIn | 3 |
| hasWorkedLevel | 3 |
| workedOnNetworkOrChannel | 3 |
| працювавУЗакладі | 3 |
| hasPerformedForIndustry | 2 |
| hasWorkAt | 2 |
| hasWorkHistoryIn | 2 |
| laterWorkedIn | 2 |
| працювавУКраїні | 2 |
| hasBriefCareerIn | 1 |
| hasOccupationExperience | 1 |
| hasProfessionalExperienceIn | 1 |
| hasWorkedAsPoliceOfficerIn | 1 |
| hasWorkedInWestEnd | 1 |
| historicallyEmployedIn | 1 |
| previouslyWorkedIn | 1 |
| worked at | 1 |
| workedAsChildIn | 1 |
| workedWithIndustry | 1 |
| workedWithLabel | 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: hasWorkedIn
Generated description
Indicates that a person has been employed or has performed work within a particular organization, location, or domain for some period of time.
Sample triples (1,709)
| Subject | Object |
|---|---|
| Vivean Gray | Australia via predicate surface "workedInCountry" NERFINISHED ⓘ |
| Vivean Gray | United Kingdom via predicate surface "workedInCountry" NERFINISHED ⓘ |
| Paul Arditti | West End theatre NERFINISHED ⓘ |
| Paul Arditti | international theatre productions ⓘ |
| Will Hurley | software startups via predicate surface "hasExperienceIn" ⓘ |
| Will Hurley | developer communities via predicate surface "hasExperienceIn" ⓘ |
| Will Hurley | technology innovation via predicate surface "hasExperienceIn" ⓘ |
| Galeazzo Alessi | Genoa via predicate surface "hasWorkIn" NERFINISHED ⓘ |
| Galeazzo Alessi | Perugia via predicate surface "hasWorkIn" NERFINISHED ⓘ |
| Galeazzo Alessi | Milan via predicate surface "hasWorkIn" NERFINISHED ⓘ |
| Galeazzo Alessi | Assisi via predicate surface "hasWorkIn" NERFINISHED ⓘ |
| Joey Carbone | recording studio ⓘ |
| Joey Carbone | television industry ⓘ |
| Chinese and Jamaican laborers (novel) | secretive operations via predicate surface "employedIn" ⓘ |
| Jamal Benomar | negotiating ceasefires via predicate surface "hasExperienceIn" ⓘ |
| Jamal Benomar | designing political transition roadmaps via predicate surface "hasExperienceIn" ⓘ |
| Jamal Benomar | supporting national dialogue conferences via predicate surface "hasExperienceIn" ⓘ |
| Alice Brooks | feature film via predicate surface "hasWorkedInMedium" ⓘ |
| Alice Brooks | television via predicate surface "hasWorkedInMedium" ⓘ |
| Sandrine Holt | film ⓘ |
| Sandrine Holt | television ⓘ |
| Sidney Greenbush | American television industry via predicate surface "workedAsChildIn" ⓘ |
| Barbara Rhoades | American television industry ⓘ |
| Barbara Rhoades | American film industry NERFINISHED ⓘ |
| Katy Brand | British television via predicate surface "hasWorkIn" ⓘ |
| Katy Brand | British film via predicate surface "hasWorkIn" ⓘ |
| Katy Brand | West End theatre via predicate surface "hasWorkIn" NERFINISHED ⓘ |
| Giacomo Torelli | Venice via predicate surface "workedInCity" NERFINISHED ⓘ |
| Giacomo Torelli | Paris via predicate surface "workedInCity" NERFINISHED ⓘ |
| Josette Simon | West End theatre NERFINISHED ⓘ |
| Kulbhushan Kharbanda | Hindi-language films ⓘ |
| Kulbhushan Kharbanda | Indian theatre ⓘ |
| Pêpê Rapazote | television ⓘ |
| Pêpê Rapazote | film ⓘ |
| Pêpê Rapazote | streaming series ⓘ |
| Amanda Root | film ⓘ |
| Amanda Root | television ⓘ |
| Amanda Root | theatre ⓘ |
| Amanda Root | radio ⓘ |
| Amanda Root | voice acting ⓘ |
| Kirstjen Nielsen | emergency preparedness via predicate surface "hasExperienceIn" ⓘ |
| Kirstjen Nielsen | critical infrastructure protection via predicate surface "hasExperienceIn" ⓘ |
| Kirstjen Nielsen | cybersecurity policy via predicate surface "hasExperienceIn" ⓘ |
| Fariduddin Masud | Guru Granth Sahib via predicate surface "hasWorkIn" NERFINISHED ⓘ |
| Alan Kelly | international football competitions via predicate surface "hasExperienceIn" ⓘ |
| Alan Kelly | North American professional soccer via predicate surface "hasExperienceIn" ⓘ |
| Amanda Redman | television via predicate surface "hasWorkIn" ⓘ |
| Amanda Redman | film via predicate surface "hasWorkIn" ⓘ |
| Amanda Redman | theatre via predicate surface "hasWorkIn" ⓘ |
| Alessandro Antonelli | Turin via predicate surface "hasWorkIn" NERFINISHED ⓘ |