Mustadrak collections
E243031
Islamic religious literature
Mustadrak collection
hadith collection
hadith collection genre
supplementary hadith compilation
The Mustadrak collections are supplementary hadith compilations that gather narrations meeting the authenticity criteria of earlier canonical works but were not included in them.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mustadrak collections canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2185459 — 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: Mustadrak collections Context triple: [Hadith literature, hasPart, Mustadrak collections]
-
A.
Menil Collection
The Menil Collection is a renowned art museum and campus in Houston, Texas, celebrated for its extensive modern and contemporary art holdings and its serene, light-filled buildings designed by architect Renzo Piano.
-
B.
Muster
Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
-
C.
Curado
Curado is a neighborhood and district within the city of Recife in Brazil, known primarily as a large residential area with significant road connections and industrial activity.
-
D.
Multazam
Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
-
E.
PizmonimCollections
PizmonimCollections are compilations of traditional liturgical and devotional songs central to the musical and religious heritage of Syrian Jews.
- 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: Mustadrak collections Target entity description: The Mustadrak collections are supplementary hadith compilations that gather narrations meeting the authenticity criteria of earlier canonical works but were not included in them.
-
A.
Menil Collection
The Menil Collection is a renowned art museum and campus in Houston, Texas, celebrated for its extensive modern and contemporary art holdings and its serene, light-filled buildings designed by architect Renzo Piano.
-
B.
Muster
Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
-
C.
Curado
Curado is a neighborhood and district within the city of Recife in Brazil, known primarily as a large residential area with significant road connections and industrial activity.
-
D.
Multazam
Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
-
E.
PizmonimCollections
PizmonimCollections are compilations of traditional liturgical and devotional songs central to the musical and religious heritage of Syrian Jews.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
Islamic religious literature
ⓘ
Mustadrak collection ⓘ hadith collection ⓘ hadith collection genre ⓘ supplementary hadith compilation ⓘ |
| aimsTo |
recover authentic narrations omitted from earlier collections
ⓘ
supplement earlier canonical hadith collections ⓘ |
| appliesTo | narrations meeting criteria of earlier canonical hadith collections ⓘ |
| author |
al-Hakim al-Nishapuri
ⓘ
linked to:
Al-Hakim al-Nishapuri
|
| basedOn | authenticity criteria of earlier canonical hadith works ⓘ |
| critiquedFor | varying levels of actual conformity to claimed authenticity criteria ⓘ |
| etymology | term "mustadrak" in Arabic means "supplemented" or "recovered" ⓘ |
| excludes | narrations already recorded in earlier canonical hadith collections ⓘ |
| focusesOn | hadiths meeting criteria of Sahih al-Bukhari and Sahih Muslim ⓘ |
| hasDefinition | supplementary hadith compilations that gather narrations meeting the authenticity criteria of earlier canonical works but not included in them ⓘ |
| hasNotableExample | al-Mustadrak ala al-Sahihayn ⓘ |
| historicalContext | developed after establishment of canonical Sunni hadith corpus ⓘ |
| language | Arabic ⓘ |
| methodologicalFeature |
explicit claim of meeting criteria of earlier canonical works
ⓘ
selection based on prior compilers’ authenticity standards ⓘ |
| relatedGenre |
Jami collections
ⓘ
Musnad collections ⓘ |
| relatedTo |
Sahih Muslim
ⓘ
Sahih al-Bukhari ⓘ Sunan collections ⓘ canonical Sunni hadith collections ⓘ |
| studiedBy | hadith scholars ⓘ |
| usedIn |
Islamic jurisprudence
ⓘ
Islamic theology ⓘ hadith studies ⓘ |
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: Mustadrak collections Description of subject: The Mustadrak collections are supplementary hadith compilations that gather narrations meeting the authenticity criteria of earlier canonical works but were not included in them.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.