Triple

T11953068
Position Surface form Disambiguated ID Type / Status
Subject Arvid Genetz E284475 entity
Predicate familyName P18 FINISHED
Object Genetz
Genetz is a Finnish surname most notably associated with Arvid Genetz, a 19th-century linguist, poet, and politician.
 E956882 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: Genetz | Statement: [Arvid Genetz, familyName, Genetz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Genetz
Context triple: [Arvid Genetz, familyName, Genetz]
  • A. Geno
    Geno is the widely used nickname of Hall of Fame University of Connecticut women's basketball coach Geno Auriemma.
  • B. Geneta
    Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
  • C. Geneina
    Geneina is a city in western Sudan that serves as a major urban center in Darfur and a focal point for the Masalit people.
  • D. Segeneiti
    Segeneiti is a town in southern Eritrea known for its agricultural surroundings and role as a local commercial center.
  • E. Gɛn
    Gɛn is a Kwa language spoken primarily in Togo and Benin by the Gɛn (Mina) people.
  • 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: Genetz
Triple: [Arvid Genetz, familyName, Genetz]
Generated description
Genetz is a Finnish surname most notably associated with Arvid Genetz, a 19th-century linguist, poet, and politician.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Genetz
Target entity description: Genetz is a Finnish surname most notably associated with Arvid Genetz, a 19th-century linguist, poet, and politician.
  • A. Geno
    Geno is the widely used nickname of Hall of Fame University of Connecticut women's basketball coach Geno Auriemma.
  • B. Geneta
    Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
  • C. Geneina
    Geneina is a city in western Sudan that serves as a major urban center in Darfur and a focal point for the Masalit people.
  • D. Segeneiti
    Segeneiti is a town in southern Eritrea known for its agricultural surroundings and role as a local commercial center.
  • E. Gɛn
    Gɛn is a Kwa language spoken primarily in Togo and Benin by the Gɛn (Mina) people.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90365da288190a132703df563de23 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4590584608190bc00840c43f115a0 completed May 1, 2026, 7:40 a.m.
NEDg Description generation batch_69f45f89d5b08190a87312d96e61898a completed May 1, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69f464a5191881908e291943996169cb completed May 1, 2026, 8:30 a.m.
Created at: April 8, 2026, 9:45 p.m.