Triple

T20997111
Position Surface form Disambiguated ID Type / Status
Subject Käbi Laretei E517178 entity
Predicate familyName P18 FINISHED
Object Laretei
Laretei is a surname most notably associated with Käbi Laretei, an Estonian-Swedish concert pianist and cultural figure.
 E1462084 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: Laretei | Statement: [Käbi Laretei, familyName, Laretei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laretei
Context triple: [Käbi Laretei, familyName, Laretei]
  • A. Naguanagua
    Naguanagua is a suburban municipality and city in the state of Carabobo, Venezuela, known for its residential areas, commercial centers, and proximity to the regional capital Valencia.
  • B. Aravena
    Aravena is a Chilean surname most prominently associated with Alejandro Aravena, the renowned architect and Pritzker Prize laureate.
  • C. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • D. Concepcion
    Concepcion is a small island municipality in the province of Romblon in the Philippines, known for its rural coastal communities and surrounding marine environment.
  • E. Concepcion
    Concepcion is a municipality in the province of Tarlac in the Philippines, known primarily as an agricultural town in Central Luzon.
  • 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: Laretei
Triple: [Käbi Laretei, familyName, Laretei]
Generated description
Laretei is a surname most notably associated with Käbi Laretei, an Estonian-Swedish concert pianist and cultural figure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laretei
Target entity description: Laretei is a surname most notably associated with Käbi Laretei, an Estonian-Swedish concert pianist and cultural figure.
  • A. Naguanagua
    Naguanagua is a suburban municipality and city in the state of Carabobo, Venezuela, known for its residential areas, commercial centers, and proximity to the regional capital Valencia.
  • B. Aravena
    Aravena is a Chilean surname most prominently associated with Alejandro Aravena, the renowned architect and Pritzker Prize laureate.
  • C. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • D. Concepcion
    Concepcion is a municipality in the province of Tarlac in the Philippines, known primarily as an agricultural town in Central Luzon.
  • E. Concepcion
    Concepcion is a small island municipality in the province of Romblon in the Philippines, known for its rural coastal communities and surrounding marine environment.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc21838081909872eed21bc12a08 completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a093b4fd8748190b90a50feac5c7517 completed May 17, 2026, 3:51 a.m.
NEDg Description generation batch_6a093f361a288190bc373e95f7e9dd63 completed May 17, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_6a093fa8a998819080a96e67d34a5f52 completed May 17, 2026, 4:10 a.m.
Created at: April 16, 2026, 1:51 p.m.