Triple

T15169023
Position Surface form Disambiguated ID Type / Status
Subject Carl Eckart E362435 entity
Predicate hasGivenName P17 FINISHED
Object Carl
Carl is a masculine given name of Germanic origin, commonly used in many European and English-speaking countries.
 E248242 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: [Carl Eckart, hasGivenName, Carl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carl
Context triple: [Carl Eckart, hasGivenName, 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: [Carl Eckart, hasGivenName, Carl]
Generated description
Carl is a masculine given name of Germanic origin, commonly used in many European and English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carl
Target entity description: Carl is a masculine given name of Germanic origin, commonly used in many European and English-speaking countries.
  • A. Carl chosen
    Carl is a masculine given name of Germanic origin that is related to Charles and commonly used in many English-speaking and European countries.
  • B. Carl
    Carl is the given name of Carl Wilhelm Rubenson, a historical figure identifiable by this personal name.
  • C. Carl
    Carl is the given name of Carl Michael Bellman, the renowned 18th-century Swedish poet and songwriter.
  • D. Carl
    Carl is the given name of Charles Frederick, Duke of Holstein-Gottorp, an 18th-century German prince linked to the Russian imperial family.
  • E. Carl
    Carl is the given name of Carl von Schirach, a historical figure associated with Nazi 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064dba588190a4341775b472a6d3 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec889c3408190bdfc75ce72dd5a62 completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fec93109c08190a3499e4520e31604 completed May 9, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_69fecc6fa8f88190aa6956e6e2b1f8ab completed May 9, 2026, 5:55 a.m.
Created at: April 10, 2026, 3:08 a.m.