Triple

T15254846
Position Surface form Disambiguated ID Type / Status
Subject Karina LeBlanc E364618 entity
Predicate givenName P17 FINISHED
Object Karina
Karina is a retired Canadian soccer goalkeeper and Olympic bronze medalist who played for the Canadian women’s national team.
 E1146859 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: Karina | Statement: [Karina LeBlanc, givenName, Karina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karina
Context triple: [Karina LeBlanc, givenName, Karina]
  • A. Kaarina
    Kaarina is a town and municipality in southwestern Finland, located near the city of Turku.
  • B. Karin
    Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
  • C. Karin
    Karin is the main settlement and administrative center of Abemama Atoll in Kiribati.
  • D. Katia
    Katia is the Atlantic hurricane name that was introduced to replace the retired name Katrina following the devastating 2005 storm.
  • E. Kara
    Kara is a feminine given name used in various cultures, often associated with meanings like “beloved,” “friend,” or “pure.”
  • 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: Karina
Triple: [Karina LeBlanc, givenName, Karina]
Generated description
Karina is a retired Canadian soccer goalkeeper and Olympic bronze medalist who played for the Canadian women’s national team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karina
Target entity description: Karina is a retired Canadian soccer goalkeeper and Olympic bronze medalist who played for the Canadian women’s national team.
  • A. Kaarina
    Kaarina is a town and municipality in southwestern Finland, located near the city of Turku.
  • B. Karin
    Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
  • C. Karin
    Karin is the main settlement and administrative center of Abemama Atoll in Kiribati.
  • D. Katia
    Katia is the Atlantic hurricane name that was introduced to replace the retired name Katrina following the devastating 2005 storm.
  • E. Kara
    Kara is a feminine given name used in various cultures, often associated with meanings like “beloved,” “friend,” or “pure.”
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f8cb308190933c4478aa096e24 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f572348190bd7719805e257e03 completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee6c109c48190952809c389e4b92b completed May 9, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fee897a7248190b3d81ea1da1d49e1 completed May 9, 2026, 7:56 a.m.
Created at: April 10, 2026, 3:13 a.m.