Triple

T13949753
Position Surface form Disambiguated ID Type / Status
Subject Karl Ferdinand of Bavaria E335487 entity
Predicate givenName P17 FINISHED
Object Karl
Karl Ferdinand of Bavaria was a Bavarian prince from the royal House of Wittelsbach in the late 19th and early 20th centuries.
E1073006 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: Karl | Statement: [Karl Ferdinand of Bavaria, givenName, Karl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl
Context triple: [Karl Ferdinand of Bavaria, givenName, Karl]
  • A. Karl
    Karl is the given first name of Charles Proteus Steinmetz, the renowned German-American mathematician and electrical engineer who revolutionized the understanding of alternating current systems.
  • B. Karl
    Karl is a ruthless, long-haired German terrorist and Hans Gruber’s vengeful right-hand man in the action film "Die Hard."
  • C. Karl
    Karl is the given name of Karl Ritter von Halt, a notable German sports official and International Olympic Committee member in the early to mid-20th century.
  • D. Karl
    Karl Lepsius was a pioneering 19th-century German Egyptologist and linguist known for his foundational work in recording and deciphering ancient Egyptian monuments and texts.
  • E. Karl
    Karl is the given name of Karl Liebknecht, the German socialist politician and co-founder of the Communist Party of Germany.
  • 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: Karl
Triple: [Karl Ferdinand of Bavaria, givenName, Karl]
Generated description
Karl Ferdinand of Bavaria was a Bavarian prince from the royal House of Wittelsbach in the late 19th and early 20th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karl
Target entity description: Karl Ferdinand of Bavaria was a Bavarian prince from the royal House of Wittelsbach in the late 19th and early 20th centuries.
  • A. Karl
    Karl is the given name of Prince Karl von Lichnowsky, a notable German aristocrat and diplomat of the early 20th century.
  • B. Karl
    Karl is the given name of Archduke Franz Karl of Austria, a 19th-century Habsburg archduke and father of Emperor Franz Joseph I.
  • C. Karl
    Karl was the given name of Archduke Charles Joseph of Austria, a Habsburg archduke and younger brother of Empress Maria Theresa in the 18th century.
  • D. Karl
    Karl is the given name of Karl Franz Joseph von Habsburg, the last Emperor of Austria and final ruler of the Austro-Hungarian Empire.
  • E. Karl
    Karl is the given first name of Carol I of Romania, the 19th-century Prussian-born prince who became the first king of modern Romania.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e131c608190b4ffdbada24a3208 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac89ebd48190ab448f74daf82a96 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbada0a2408190b77d163aee17400e completed May 6, 2026, 9:07 p.m.
NED2 Entity disambiguation (via description) batch_69fbaeeeb594819087b57da166495a72 completed May 6, 2026, 9:13 p.m.
Created at: April 9, 2026, 10:17 p.m.