Triple

T2740269
Position Surface form Disambiguated ID Type / Status
Subject Katharina Gsell E60731 entity
Predicate familyName P18 FINISHED
Object Gsell
Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
 E294271 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: Gsell | Statement: [Katharina Gsell, familyName, Gsell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gsell
Context triple: [Katharina Gsell, familyName, Gsell]
  • A. Geva
    Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
  • B. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • C. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • D. Lusser
    Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
  • E. Goettsch
    Goettsch is a surname most prominently associated with the architecture firm Lohan Caprile Goettsch Architects and its architectural practice.
  • 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: Gsell
Triple: [Katharina Gsell, familyName, Gsell]
Generated description
Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gsell
Target entity description: Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
  • A. Geva
    Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
  • B. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • C. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • D. Lusser
    Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
  • E. Goettsch
    Goettsch is a surname most prominently associated with the architecture firm Lohan Caprile Goettsch Architects and its architectural practice.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb2f210881909126307cc92ebfef completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbc828388190af6c3b75ed765401 completed March 10, 2026, 6:35 a.m.
NEDg Description generation batch_69afbc3b0aa08190ac0254e7e4300b9c completed March 10, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69afbcb25ee4819093a8bd77bbcd8a86 completed March 10, 2026, 6:39 a.m.
Created at: March 6, 2026, 9:56 p.m.