Triple

T14854081
Position Surface form Disambiguated ID Type / Status
Subject Karsen Liotta E349305 entity
Predicate givenName P17 FINISHED
Object Karsen
Karsen is a given name that can be used for people of any gender.
E1124080 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: Karsen | Statement: [Karsen Liotta, givenName, Karsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karsen
Context triple: [Karsen Liotta, givenName, Karsen]
  • A. Carris
    Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
  • B. Karros
    Karros is a surname most notably associated with former Major League Baseball first baseman and broadcaster Eric Karros.
  • C. Deegan
    Deegan is an Irish-origin surname borne by various notable individuals in fields such as politics, sports, and the arts.
  • D. Rivaz
    Rivaz is a picturesque Swiss wine-growing village on the shores of Lake Geneva, renowned for its terraced vineyards within the UNESCO-listed Lavaux region.
  • E. Coutras
    Coutras is a commune in southwestern France known historically as the site of a major battle during the French Wars of Religion.
  • 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: Karsen
Triple: [Karsen Liotta, givenName, Karsen]
Generated description
Karsen is a given name that can be used for people of any gender.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karsen
Target entity description: Karsen is a given name that can be used for people of any gender.
  • A. Carris
    Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
  • B. Karros
    Karros is a surname most notably associated with former Major League Baseball first baseman and broadcaster Eric Karros.
  • C. Deegan
    Deegan is an Irish-origin surname borne by various notable individuals in fields such as politics, sports, and the arts.
  • D. Rivaz
    Rivaz is a picturesque Swiss wine-growing village on the shores of Lake Geneva, renowned for its terraced vineyards within the UNESCO-listed Lavaux region.
  • E. Coutras
    Coutras is a commune in southwestern France known historically as the site of a major battle during the French Wars of Religion.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44318f0819080b6c599f2d3474f completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6506ace48190819504b93f575660 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe66a5f3a88190827c6c9247323153 completed May 8, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69fe6736ff34819098524e4401a414aa completed May 8, 2026, 10:44 p.m.
Created at: April 10, 2026, 1:54 a.m.