Wall of Names
E234626
Wall of Names is a commemorative structure inscribed with the names of the passengers and crew of United Airlines Flight 93, honoring their memory at the Flight 93 National Memorial.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Wall of Names canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T2110104 — 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: Wall of Names Context triple: [Flight 93 National Memorial, hasFeature, Wall of Names]
-
A.
The Names
The Names is a 1982 novel by Don DeLillo that blends political intrigue, linguistic obsession, and expatriate life in Greece and the Middle East into a meditative exploration of language, violence, and meaning.
-
B.
Remember My Name
"Remember My Name" is a 1978 psychological thriller film directed by Alan Rudolph, noted for its offbeat, character-driven story and a prominent performance by Geraldine Chaplin as a mysterious woman stalking her ex-husband.
-
C.
Stone of Remembrance
The Stone of Remembrance is a large, altar-like memorial stone designed by Sir Edwin Lutyens and used in many Commonwealth war cemeteries to honor the dead of the World Wars.
-
D.
The Crowds
The Crowds is an English title for the 39th chapter of the Qur’an, which emphasizes sincere worship of God alone and contrasts the fates of believers and disbelievers.
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E.
The Anthem
The Anthem is a major music and entertainment venue in Washington, D.C., known for hosting large-scale concerts and live events.
- 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: Wall of Names Target entity description: Wall of Names is a commemorative structure inscribed with the names of the passengers and crew of United Airlines Flight 93, honoring their memory at the Flight 93 National Memorial.
-
A.
The Names
The Names is a 1982 novel by Don DeLillo that blends political intrigue, linguistic obsession, and expatriate life in Greece and the Middle East into a meditative exploration of language, violence, and meaning.
-
B.
Remember My Name
"Remember My Name" is a 1978 psychological thriller film directed by Alan Rudolph, noted for its offbeat, character-driven story and a prominent performance by Geraldine Chaplin as a mysterious woman stalking her ex-husband.
-
C.
Stone of Remembrance
The Stone of Remembrance is a large, altar-like memorial stone designed by Sir Edwin Lutyens and used in many Commonwealth war cemeteries to honor the dead of the World Wars.
-
D.
The Crowds
The Crowds is an English title for the 39th chapter of the Qur’an, which emphasizes sincere worship of God alone and contrasts the fates of believers and disbelievers.
-
E.
The Anthem
The Anthem is a major music and entertainment venue in Washington, D.C., known for hosting large-scale concerts and live events.
- F. None of above. chosen
Statements (33)
| Predicate | Object |
|---|---|
| instanceOf |
commemorative structure
ⓘ
memorial wall ⓘ |
| associatedWithFlight | United Airlines Flight 93 ⓘ |
| commemorates |
crew of United Airlines Flight 93
ⓘ
passengers of United Airlines Flight 93 ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| dedicatedTo |
heroic actions of United Airlines Flight 93 passengers and crew
ⓘ
victims of United Airlines Flight 93 ⓘ |
| hasAccess | open to the public ⓘ |
| hasDesignFeature |
individual panels for each person
ⓘ
linear wall aligned with flight path ⓘ |
| hasFunction |
place for public mourning
ⓘ
place of remembrance ⓘ site for memorial ceremonies ⓘ |
| hasInscriptionType | names ⓘ |
| hasNumberOfHonorees | 40 ⓘ |
| hasTheme |
heroism
ⓘ
remembrance ⓘ sacrifice ⓘ |
| honorsNumberOfPassengersAndCrew | 40 ⓘ |
| inscribedWith |
names of crew of United Airlines Flight 93
ⓘ
names of passengers of United Airlines Flight 93 ⓘ |
| isComponentOf | permanent Flight 93 crash site memorial landscape ⓘ |
| locatedIn |
Flight 93 National Memorial
ⓘ
surface form:
Flight 93 National Memorial, Pennsylvania, United States
Somerset County, Pennsylvania NERFINISHED ⓘ |
| locatedNear | Shanksville, Pennsylvania ⓘ |
| managedBy | National Park Service ⓘ |
| materialUsed | white marble ⓘ |
| memorialType |
National September 11 Memorial & Museum
ⓘ
surface form:
September 11 attacks memorial
|
| orientation | aligned with final flight path of United Airlines Flight 93 ⓘ |
| ownedBy |
United States government
ⓘ
surface form:
United States federal government
|
| partOf | Flight 93 National Memorial ⓘ |
| partOfEventCommemoration | September 11, 2001 ⓘ |
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: Wall of Names Description of subject: Wall of Names is a commemorative structure inscribed with the names of the passengers and crew of United Airlines Flight 93, honoring their memory at the Flight 93 National Memorial.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.