Triple

T15940045
Position Surface form Disambiguated ID Type / Status
Subject Duke Carl Heinrich of Württemberg E386533 entity
Predicate givenName P17 FINISHED
Object Carl
Carl is a member of the royal House of Württemberg, historically associated with the former Kingdom of Württemberg in what is now southwestern Germany.
 E1127340 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: Carl | Statement: [Duke Carl Heinrich of Württemberg, givenName, Carl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carl
Context triple: [Duke Carl Heinrich of Württemberg, givenName, Carl]
  • A. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • B. Carl
    Carl is the given name of the influential American microbiologist Carl Woese, known for defining the Archaea domain of life.
  • C. Carl
    Carl is the given name of Carl Schorske, a prominent American cultural and intellectual historian known for his influential work on fin-de-siècle Vienna.
  • D. Carl
    Carl is the given name of Carl Gotthard Langhans, the Prussian architect best known for designing Berlin’s Brandenburg Gate.
  • E. Carl
    Carl Flesch was a renowned Hungarian violinist and influential pedagogue known for his technical mastery and seminal instructional works on violin playing.
  • 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: Carl
Triple: [Duke Carl Heinrich of Württemberg, givenName, Carl]
Generated description
Carl is a member of the royal House of Württemberg, historically associated with the former Kingdom of Württemberg in what is now southwestern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carl
Target entity description: Carl is a member of the royal House of Württemberg, historically associated with the former Kingdom of Württemberg in what is now southwestern Germany.
  • A. Carl chosen
    Carl is a member of the royal House of Württemberg, known as Duke Carl of Württemberg in the German nobility.
  • B. Carl
    Carl is the given name of Charles III William, the Margrave of Baden-Durlach, a German nobleman and regional ruler of the early 18th century.
  • C. Carl
    Carl is the given name of Charles Frederick, Duke of Holstein-Gottorp, an 18th-century German prince linked to the Russian imperial family.
  • D. Carl
    Carl is the given name of Charles I Louis, the 17th-century Elector Palatine of the Rhine in the Holy Roman Empire.
  • E. Carl
    Carl is a masculine given name of Germanic origin that is related to Charles and commonly used in many English-speaking and European countries.
  • F. None of above.

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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ad9988819089ad7822e0f46177 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5ba070c8190b6af6cb21bddd7f1 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb77a69188190a7b4910a0ce2534c completed May 9, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_69ffbbcd0a948190972ddf2202faa85b completed May 9, 2026, 10:57 p.m.
Created at: April 10, 2026, 4:53 a.m.