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.