Triple
T9080148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franz Xaver Kappus |
E217596
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kappus
Kappus is a surname most notably associated with Franz Xaver Kappus, the Austrian officer, writer, and correspondent of poet Rainer Maria Rilke.
|
E776321
|
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: Kappus | Statement: [Franz Xaver Kappus, familyName, Kappus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kappus Context triple: [Franz Xaver Kappus, familyName, Kappus]
-
A.
Blume
Blume is the family name of acclaimed English actress Claire Bloom, known for her work in film, television, and theatre.
-
B.
Wilhelma
Wilhelma is a renowned zoological and botanical garden in Stuttgart, Germany, known for its extensive animal and plant collections and historic Moorish-style architecture.
-
C.
Schoen
Schoen is a German-origin surname borne by various notable individuals in fields such as mathematics, science, and the arts.
-
D.
Saastal
Saastal is a high Alpine valley in the Swiss canton of Valais, known for its dramatic peaks, glaciers, and popular mountain resorts.
-
E.
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.
- 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: Kappus Triple: [Franz Xaver Kappus, familyName, Kappus]
Generated description
Kappus is a surname most notably associated with Franz Xaver Kappus, the Austrian officer, writer, and correspondent of poet Rainer Maria Rilke.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kappus Target entity description: Kappus is a surname most notably associated with Franz Xaver Kappus, the Austrian officer, writer, and correspondent of poet Rainer Maria Rilke.
-
A.
Blume
Blume is the family name of acclaimed English actress Claire Bloom, known for her work in film, television, and theatre.
-
B.
Wilhelma
Wilhelma is a renowned zoological and botanical garden in Stuttgart, Germany, known for its extensive animal and plant collections and historic Moorish-style architecture.
-
C.
Schoen
Schoen is a German-origin surname borne by various notable individuals in fields such as mathematics, science, and the arts.
-
D.
Saastal
Saastal is a high Alpine valley in the Swiss canton of Valais, known for its dramatic peaks, glaciers, and popular mountain resorts.
-
E.
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.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9607942c8190a21620892ce3cbe5 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe2103448190bbc09436f19c4f11 |
completed | April 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69d000d4a4548190939a9a9946be469b |
completed | April 3, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d001b245f08190a8e5c53c570b20a0 |
completed | April 3, 2026, 6:06 p.m. |
Created at: March 30, 2026, 7:13 p.m.