Triple
T21370781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Amalia of Brunswick-Wolfenbüttel |
E527054
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Amalia
Amalia is the given name of Anna Amalia of Brunswick-Wolfenbüttel, an 18th-century German duchess known for her patronage of the arts and culture.
|
E1009147
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Amalia | Statement: [Anna Amalia of Brunswick-Wolfenbüttel, givenName, Amalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amalia Context triple: [Anna Amalia of Brunswick-Wolfenbüttel, givenName, Amalia]
-
A.
Amalia
Amalia is the Dutch crown princess, heir apparent to the throne of the Kingdom of the Netherlands.
-
B.
Amalia
Amalia is a character in Franz Kafka’s unfinished novel "The Castle," known for her defiant act that brings social ostracism upon her family.
-
C.
Amalia
Amalia is a novel by Finnish writer Sylvi Kekkonen, known for its introspective portrayal of women’s inner lives in mid-20th-century Finland.
-
D.
Amalia
Amalia is a pioneering 1914 Argentine silent film widely regarded as the first feature-length production in the history of Argentine cinema.
-
E.
Amalia
Amalia is a character in Mario Vargas Llosa’s novel "Conversación en La Catedral," representing one of the many figures entangled in the political and social decay of mid-20th-century Peru.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Amalia Triple: [Anna Amalia of Brunswick-Wolfenbüttel, givenName, Amalia]
Generated description
Amalia is the given name of Anna Amalia of Brunswick-Wolfenbüttel, an 18th-century German duchess known for her patronage of the arts and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amalia Target entity description: Amalia is the given name of Anna Amalia of Brunswick-Wolfenbüttel, an 18th-century German duchess known for her patronage of the arts and culture.
-
A.
Amalia
Amalia is the Dutch crown princess, heir apparent to the throne of the Kingdom of the Netherlands.
-
B.
Amalia
chosen
Amalia is a feminine given name of Latin and Germanic origin, often associated with meanings related to work, industriousness, or striving.
-
C.
Amalia
Amalia is a novel by Finnish writer Sylvi Kekkonen, known for its introspective portrayal of women’s inner lives in mid-20th-century Finland.
-
D.
Amalia
Amalia is a character in Franz Kafka’s unfinished novel "The Castle," known for her defiant act that brings social ostracism upon her family.
-
E.
Amalia
Amalia is a pioneering 1914 Argentine silent film widely regarded as the first feature-length production in the history of Argentine cinema.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0ae92c88190a3d3097f5b268a79 |
completed | April 22, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09b41c930c8190ac11bdfabadbc237 |
completed | May 17, 2026, 12:27 p.m. |
| NEDg | Description generation | batch_6a09b4da24948190ad67a98bd1ede5dd |
completed | May 17, 2026, 12:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09b5daceac81909ecfa50967c77f58 |
completed | May 17, 2026, 12:34 p.m. |
Created at: April 16, 2026, 5:10 p.m.