Triple
T17375091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alströmer |
E422414
|
entity |
| Predicate | relatedFamily |
P566
|
FINISHED |
| Object |
von Alströmer
Von Alströmer is a Swedish noble family historically associated with prominent figures in science, industry, and culture.
|
E1265648
|
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: von Alströmer | Statement: [Alströmer, relatedFamily, von Alströmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: von Alströmer Context triple: [Alströmer, relatedFamily, von Alströmer]
-
A.
Aloysia Weber
Aloysia Weber was an 18th-century German soprano singer best known for her association with Wolfgang Amadeus Mozart, who wrote several roles for her.
-
B.
Kappus
Kappus is a surname most notably associated with Franz Xaver Kappus, the Austrian officer, writer, and correspondent of poet Rainer Maria Rilke.
-
C.
Vanda
Vanda is the Swedish name for Vantaa, a major city in the Helsinki metropolitan area of southern Finland.
-
D.
Vanda
Vanda is a feminine given name, often considered a variant of Wanda, used in various European and Latin American cultures.
-
E.
Plantage Kerklaan
Plantage Kerklaan is a notable street in Amsterdam’s historic Plantage district, known for its cultural institutions, green spaces, and proximity to attractions like Artis Zoo.
- 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: von Alströmer Triple: [Alströmer, relatedFamily, von Alströmer]
Generated description
Von Alströmer is a Swedish noble family historically associated with prominent figures in science, industry, and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: von Alströmer Target entity description: Von Alströmer is a Swedish noble family historically associated with prominent figures in science, industry, and culture.
-
A.
Aloysia Weber
Aloysia Weber was an 18th-century German soprano singer best known for her association with Wolfgang Amadeus Mozart, who wrote several roles for her.
-
B.
Kappus
Kappus is a surname most notably associated with Franz Xaver Kappus, the Austrian officer, writer, and correspondent of poet Rainer Maria Rilke.
-
C.
Vanda
Vanda is the Swedish name for Vantaa, a major city in the Helsinki metropolitan area of southern Finland.
-
D.
Vanda
Vanda is a feminine given name, often considered a variant of Wanda, used in various European and Latin American cultures.
-
E.
Plantage Kerklaan
Plantage Kerklaan is a notable street in Amsterdam’s historic Plantage district, known for its cultural institutions, green spaces, and proximity to attractions like Artis Zoo.
- F. None of above. chosen
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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6c864481908507290282cc6d25 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019ff1611c8190a17beb1e23397f02 |
completed | May 11, 2026, 9:22 a.m. |
| NEDg | Description generation | batch_6a01a078ae4881909ee0e192032909fd |
completed | May 11, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a0d9e5348190931ee4df49563ea5 |
completed | May 11, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:44 a.m.