Triple

T13355783
Position Surface form Disambiguated ID Type / Status
Subject Karl Nehring E318686 entity
Predicate givenName P17 FINISHED
Object Karl
Karl is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries and related to the English name Charles.
 E79216 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 Nehring, givenName, Karl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karl
Context triple: [Karl Nehring, 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 Nehring, givenName, Karl]
Generated description
Karl is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries and related to the English name Charles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karl
Target entity description: Karl is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries and related to the English name Charles.
  • A. Karl chosen
    Karl is a Germanic given name, cognate with Charles, commonly used in German-speaking and other European countries.
  • B. Karl
    Karl is the given name of Prince Karl von Lichnowsky, a notable German aristocrat and diplomat of the early 20th century.
  • C. 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.
  • D. Karl
    Karl is the given name of German Field Marshal Gerd von Rundstedt, a prominent military leader during World War II.
  • 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.

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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99f1ef94c81909a59b7c3f77d3335 completed April 11, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f13a63c81909335c0a45c3f7eca completed May 3, 2026, 10:10 a.m.
NEDg Description generation batch_69f7220def9081908335441ff5134444 completed May 3, 2026, 10:23 a.m.
NED2 Entity disambiguation (via description) batch_69f7228d90888190be3ad818cdb75ed9 completed May 3, 2026, 10:25 a.m.
Created at: April 9, 2026, 9:32 p.m.