Triple

T20357700
Position Surface form Disambiguated ID Type / Status
Subject Wolfgang Capito E496693 entity
Predicate familyName P18 FINISHED
Object Capito
Capito is a surname most notably associated with Wolfgang Capito, a prominent German reformer and theologian of the Protestant Reformation.
 E1426797 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: Capito | Statement: [Wolfgang Capito, familyName, Capito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Capito
Context triple: [Wolfgang Capito, familyName, Capito]
  • A. Capisnon
    Capisnon is a Visayan language variety spoken primarily in the province of Capiz in the Philippines.
  • B. Beilein
    Beilein is a surname most prominently associated with American basketball coach John Beilein, known for his successful collegiate coaching career.
  • C. Kapò
    Kapò is a 1960 Italian war drama film directed by Gillo Pontecorvo that portrays the moral and human degradation inside a Nazi concentration camp through the story of a young Jewish girl who becomes a camp kapo.
  • D. Capussa
    Capussa was an ancient North African king who ruled the Massylii, a Numidian Berber people in what is now Algeria and Tunisia.
  • E. Capresani
    Capresani are the inhabitants or natives of the Italian town of Caprese Michelangelo in Tuscany.
  • 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: Capito
Triple: [Wolfgang Capito, familyName, Capito]
Generated description
Capito is a surname most notably associated with Wolfgang Capito, a prominent German reformer and theologian of the Protestant Reformation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Capito
Target entity description: Capito is a surname most notably associated with Wolfgang Capito, a prominent German reformer and theologian of the Protestant Reformation.
  • A. Capisnon
    Capisnon is a Visayan language variety spoken primarily in the province of Capiz in the Philippines.
  • B. Beilein
    Beilein is a surname most prominently associated with American basketball coach John Beilein, known for his successful collegiate coaching career.
  • C. Kapò
    Kapò is a 1960 Italian war drama film directed by Gillo Pontecorvo that portrays the moral and human degradation inside a Nazi concentration camp through the story of a young Jewish girl who becomes a camp kapo.
  • D. Capussa
    Capussa was an ancient North African king who ruled the Massylii, a Numidian Berber people in what is now Algeria and Tunisia.
  • E. Capresani
    Capresani are the inhabitants or natives of the Italian town of Caprese Michelangelo in Tuscany.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67855c3a88190b88839a47d01184d completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087083b5108190a94f0a9dc405904c completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a0870fd8b8c8190ac7ac5d2b0d9e8c4 completed May 16, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_6a087213a0408190a9b553323d7ced1f completed May 16, 2026, 1:33 p.m.
Created at: April 16, 2026, 11:25 a.m.