Triple

T13719793
Position Surface form Disambiguated ID Type / Status
Subject Wenceslaus of Austria E328998 entity
Predicate givenName P17 FINISHED
Object Wenceslaus
Wenceslaus was a member of the Habsburg dynasty, known as an Austrian archduke from the late Middle Ages.
 E1096941 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: Wenceslaus | Statement: [Wenceslaus of Austria, givenName, Wenceslaus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wenceslaus
Context triple: [Wenceslaus of Austria, givenName, Wenceslaus]
  • A. Wenceslaus
    Wenceslaus was the birth name of Charles IV, the 14th-century Holy Roman Emperor and King of Bohemia from the House of Luxembourg.
  • B. Ottokar
    Ottokar is a Germanic given name, historically borne by several Central European nobles and rulers, particularly in Austria and Bohemia.
  • C. Wenceslaus I of Bohemia
    Wenceslaus I of Bohemia was a 13th-century Přemyslid king known for consolidating royal power in Bohemia and resisting the Mongol incursions into Central Europe.
  • D. John Henry of Moravia
    John Henry of Moravia was a 14th-century Bohemian nobleman and Margrave of Moravia from the Luxembourg dynasty, known for his role in the politics of the Kingdom of Bohemia.
  • E. Ludvík
    Ludvík is a masculine given name of Slavic origin, commonly used in Czech and Slovak cultures.
  • 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: Wenceslaus
Triple: [Wenceslaus of Austria, givenName, Wenceslaus]
Generated description
Wenceslaus was a member of the Habsburg dynasty, known as an Austrian archduke from the late Middle Ages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wenceslaus
Target entity description: Wenceslaus was a member of the Habsburg dynasty, known as an Austrian archduke from the late Middle Ages.
  • A. Wenceslaus
    Wenceslaus was the birth name of Charles IV, the 14th-century Holy Roman Emperor and King of Bohemia from the House of Luxembourg.
  • B. Ottokar
    Ottokar is a Germanic given name, historically borne by several Central European nobles and rulers, particularly in Austria and Bohemia.
  • C. Wenceslaus I of Bohemia
    Wenceslaus I of Bohemia was a 13th-century Přemyslid king known for consolidating royal power in Bohemia and resisting the Mongol incursions into Central Europe.
  • D. John Henry of Moravia
    John Henry of Moravia was a 14th-century Bohemian nobleman and Margrave of Moravia from the Luxembourg dynasty, known for his role in the politics of the Kingdom of Bohemia.
  • E. Ludvík
    Ludvík is a masculine given name of Slavic origin, commonly used in Czech and Slovak cultures.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd439a121c81908cae964e7756274c completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd54f748d481909661deb151da34c1 completed May 8, 2026, 3:13 a.m.
NEDg Description generation batch_69fd56aaf0dc8190b0eaf84822eb15f0 completed May 8, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69fd5731c9188190bda2958bef87dfe2 completed May 8, 2026, 3:23 a.m.
Created at: April 9, 2026, 9:55 p.m.