Triple

T571562
Position Surface form Disambiguated ID Type / Status
Subject Charles E13673 entity
Predicate isCognateOf P2527 FINISHED
Object Karl
Karl is a Germanic given name, cognate with Charles, commonly used in German-speaking and other European countries.
 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: [Charles, isCognateOf, Karl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karl
Context triple: [Charles, isCognateOf, 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 the given name of Karl Popper, the influential 20th-century philosopher of science known for his theory of falsifiability.
  • C. Karl
    Karl Schwarzschild was a German physicist and astronomer best known for providing the first exact solution to Einstein’s field equations, leading to the concept of the Schwarzschild black hole.
  • D. Karl
    Karl is the given name of German Field Marshal Gerd von Rundstedt, a prominent military leader during World War II.
  • E. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • 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: [Charles, isCognateOf, Karl]
Generated description
Karl is a Germanic given name, cognate with Charles, commonly used in German-speaking and other European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karl
Target entity description: Karl is a Germanic given name, cognate with Charles, commonly used in German-speaking and other European countries.
  • A. Karl
    Karl is the given name of German Field Marshal Gerd von Rundstedt, a prominent military leader during World War II.
  • B. 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.
  • C. Karl
    Karl is the given name of Karl Popper, the influential 20th-century philosopher of science known for his theory of falsifiability.
  • D. Karl
    Karl Schwarzschild was a German physicist and astronomer best known for providing the first exact solution to Einstein’s field equations, leading to the concept of the Schwarzschild black hole.
  • E. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b483ac08190b3be152a7cf42011 completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56c4973c88190a7d234f480ecade5 completed March 2, 2026, 10:54 a.m.
NEDg Description generation batch_69a56cdb8bd08190ac98f36a134d78d5 completed March 2, 2026, 10:56 a.m.
NED2 Entity disambiguation (via description) batch_69a56d8713a88190ba3ad6585e64db23 completed March 2, 2026, 10:59 a.m.
Created at: March 1, 2026, 7:33 p.m.