Triple

T20687964
Position Surface form Disambiguated ID Type / Status
Subject Duke Charles Alexander of Württemberg E508470 entity
Predicate givenName P17 FINISHED
Object Karl
Karl is the given name of Duke Charles Alexander of Württemberg, an 18th-century German nobleman and military leader.
E1446233 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: [Duke Charles Alexander of Württemberg, givenName, Karl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl
Context triple: [Duke Charles Alexander of Württemberg, 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 first name of Carol I of Romania, the 19th-century Prussian-born prince who became the first king of modern Romania.
  • D. Karl
    Karl is the given first name of the Swedish songwriter and record producer known professionally as Shellback.
  • E. Karl
    Karl is the given name of Charles Frederick, Duke of Holstein-Gottorp, a German nobleman and father of the future Russian Emperor Peter III.
  • 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: [Duke Charles Alexander of Württemberg, givenName, Karl]
Generated description
Karl is the given name of Duke Charles Alexander of Württemberg, an 18th-century German nobleman and military leader.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karl
Target entity description: Karl is the given name of Duke Charles Alexander of Württemberg, an 18th-century German nobleman and military leader.
  • A. Karl
    Karl is the given name of Charles Frederick, the Grand Duke of Baden, a prominent German ruler of the late 18th and early 19th centuries.
  • B. Karl
    Karl is the given name of Charles Frederick, Duke of Holstein-Gottorp, a German nobleman and father of the future Russian Emperor Peter III.
  • C. Karl
    Karl was the given name of Prince Louis Charles of Prussia, a member of the Prussian royal family in the late 18th and early 19th centuries.
  • D. Karl
    Karl is the given name of Prince Karl von Lichnowsky, a notable German aristocrat and diplomat of the early 20th century.
  • E. 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.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beaddfe88190897b8963fa8b2245 completed April 21, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7e04b7c8190b49f638fb8ff88c6 completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08dbdeb8e48190b8fda90fbd2a1837 completed May 16, 2026, 9:04 p.m.
NED2 Entity disambiguation (via description) batch_6a08dc66bc4081908bdcc559fc777cd3 completed May 16, 2026, 9:06 p.m.
Created at: April 16, 2026, 11:45 a.m.