Tense
E880504
Tense is a seminal linguistic study by Bernard Comrie that analyzes how languages grammatically encode time distinctions in verbs.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tense canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10708999 — 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: Tense Context triple: [Bernard Comrie, notableWork, Tense]
-
A.
Moods and Tenses
Moods and Tenses is a collection of short stories by English writer William Fryer Harvey, best known for its atmospheric and psychologically driven tales.
-
B.
Tension
"Tension" is a song by Fergie from her 2017 album *Double Dutchess*, blending pop and hip-hop elements with a confident, club-ready vibe.
-
C.
Tension
"Tension" is a 2023 dance-pop album by Australian singer Kylie Minogue, known for its upbeat production and the hit single "Padam Padam."
-
D.
Past Tense
Past Tense is a thriller novel by Lee Child featuring his iconic drifter hero Jack Reacher as he uncovers dark secrets in a small New England town.
-
E.
Present Tense
"Present Tense" is a reflective, acoustic-driven song by the English rock band Radiohead, noted for its intricate guitar work and introspective lyrics.
- 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: Tense Target entity description: Tense is a seminal linguistic study by Bernard Comrie that analyzes how languages grammatically encode time distinctions in verbs.
-
A.
Moods and Tenses
Moods and Tenses is a collection of short stories by English writer William Fryer Harvey, best known for its atmospheric and psychologically driven tales.
-
B.
Tension
"Tension" is a song by Fergie from her 2017 album *Double Dutchess*, blending pop and hip-hop elements with a confident, club-ready vibe.
-
C.
Tension
"Tension" is a 2023 dance-pop album by Australian singer Kylie Minogue, known for its upbeat production and the hit single "Padam Padam."
-
D.
Past Tense
Past Tense is a thriller novel by Lee Child featuring his iconic drifter hero Jack Reacher as he uncovers dark secrets in a small New England town.
-
E.
Present Tense
"Present Tense" is a reflective, acoustic-driven song by the English rock band Radiohead, noted for its intricate guitar work and introspective lyrics.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
book
ⓘ
linguistics monograph ⓘ |
| academicDiscipline |
linguistics
ⓘ
morphosyntax ⓘ semantics ⓘ |
| analyzes |
aspect–tense interactions
ⓘ
future tense ⓘ past tense ⓘ perfect ⓘ present tense ⓘ progressive ⓘ |
| approach |
theoretical
ⓘ
typological ⓘ |
| author | Bernard Comrie ⓘ |
| citedBy | linguistics research on tense and aspect ⓘ |
| contains |
cross-linguistic examples
ⓘ
discussion of tense–aspect distinction ⓘ formal definitions of tense categories ⓘ |
| describes |
absolute tense
ⓘ
absolute-relative tense ⓘ deictic time reference ⓘ non-deictic time reference ⓘ relative tense ⓘ |
| focusesOn |
cross-linguistic comparison of tense systems
ⓘ
grammatical encoding of time ⓘ verb morphology ⓘ |
| hasEdition |
hardback edition
ⓘ
paperback edition ⓘ |
| hasInfluenceOn |
cross-linguistic tense studies
ⓘ
tense theory in linguistics ⓘ |
| hasPart |
chapters on semantic analysis of tense
ⓘ
chapters on theoretical foundations of tense ⓘ chapters on typology of tense systems ⓘ |
| intendedAudience |
advanced students of linguistics
ⓘ
linguists ⓘ |
| language | English ⓘ |
| mainSubject |
grammatical categories
ⓘ
linguistics ⓘ tense ⓘ |
| publicationYear | 1985 ⓘ |
| publisher | Cambridge University Press ⓘ |
| relatedConcept |
aspect
ⓘ
modality ⓘ mood ⓘ time reference in language ⓘ |
| relatedWork | Aspect by Bernard Comrie ⓘ |
| series | Cambridge Textbooks in Linguistics ⓘ |
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: Tense Description of subject: Tense is a seminal linguistic study by Bernard Comrie that analyzes how languages grammatically encode time distinctions in verbs.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.