Selma (2014 film)
E6307
Selma is a 2014 historical drama film that chronicles Martin Luther King Jr.'s leadership in the 1965 voting rights marches from Selma to Montgomery, Alabama.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Selma | 31 |
| "Selma" | 1 |
| Andrew Young in Selma | 1 |
| Selma (2014 film) canonical | 1 |
| film "Selma" | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T53017 — 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.
Target entity: Selma (2014 film) Context triple: [Glory, associatedWith, Selma (2014 film)]
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A.
Glory
"Glory" is an Academy Award–winning civil rights anthem by John Legend and Common, written for the 2014 film *Selma* and celebrated for its powerful commentary on racial justice.
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B.
Selma to Montgomery marches
The Selma to Montgomery marches were a series of 1965 civil rights protests in Alabama that became pivotal in the struggle for African American voting rights and led to the passage of the Voting Rights Act.
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C.
A Promised Land
A Promised Land is a presidential memoir by Barack Obama that chronicles his early political career and first term in the White House.
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D.
Hancock
Hancock is a prominent surname most famously associated with John Hancock, a key figure of the American Revolution and first signer of the United States Declaration of Independence.
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E.
Madam President
"Madam President" is the formal style of address used for a female President of the United States.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Selma (2014 film) Target entity description: Selma is a 2014 historical drama film that chronicles Martin Luther King Jr.'s leadership in the 1965 voting rights marches from Selma to Montgomery, Alabama.
-
A.
Glory
"Glory" is an Academy Award–winning civil rights anthem by John Legend and Common, written for the 2014 film *Selma* and celebrated for its powerful commentary on racial justice.
-
B.
Selma to Montgomery marches
The Selma to Montgomery marches were a series of 1965 civil rights protests in Alabama that became pivotal in the struggle for African American voting rights and led to the passage of the Voting Rights Act.
-
C.
A Promised Land
A Promised Land is a presidential memoir by Barack Obama that chronicles his early political career and first term in the White House.
-
D.
Hancock
Hancock is a prominent surname most famously associated with John Hancock, a key figure of the American Revolution and first signer of the United States Declaration of Independence.
-
E.
Madam President
"Madam President" is the formal style of address used for a female President of the United States.
- F. None of above. chosen
Statements (53)
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.
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.
Subject: Selma (2014 film) Description of subject: Selma is a 2014 historical drama film that chronicles Martin Luther King Jr.'s leadership in the 1965 voting rights marches from Selma to Montgomery, Alabama.
Referenced by (35)
Full triples — surface form annotated when it differs from this entity's canonical label.