Triple

T18518648
Position Surface form Disambiguated ID Type / Status
Subject Lina Prokofiev E452528 entity
Predicate alsoKnownAs P39 FINISHED
Object Lina Llubera
Lina Llubera, better known as Lina Prokofiev, was a Spanish-born singer and the first wife of Russian composer Sergei Prokofiev.
E1329131 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: Lina Llubera | Statement: [Lina Prokofiev, alsoKnownAs, Lina Llubera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lina Llubera
Context triple: [Lina Prokofiev, alsoKnownAs, Lina Llubera]
  • A. Lina Esco
    Lina Esco is an American actress, filmmaker, and activist best known for her roles in television series such as "S.W.A.T." and for her advocacy on social and political issues.
  • B. Lina Ruz González
    Lina Ruz González was a Cuban woman best known as the mother of revolutionary leaders Fidel and Raúl Castro.
  • C. Lina Romay
    Lina Romay was a Mexican-born actress and singer best known as a featured performer in Hollywood films of the 1940s and 1950s.
  • D. Lina Lardi
    Lina Lardi was the partner of Enzo Ferrari and the mother of Piero Ferrari, connected to the founding family of the Ferrari automotive marque.
  • E. Ana Leza
    Ana Leza is a Spanish actress best known for her work in film and television in the 1980s and 1990s and for her former marriage to actor Antonio Banderas.
  • 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: Lina Llubera
Triple: [Lina Prokofiev, alsoKnownAs, Lina Llubera]
Generated description
Lina Llubera, better known as Lina Prokofiev, was a Spanish-born singer and the first wife of Russian composer Sergei Prokofiev.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lina Llubera
Target entity description: Lina Llubera, better known as Lina Prokofiev, was a Spanish-born singer and the first wife of Russian composer Sergei Prokofiev.
  • A. Lina Esco
    Lina Esco is an American actress, filmmaker, and activist best known for her roles in television series such as "S.W.A.T." and for her advocacy on social and political issues.
  • B. Lina Ruz González
    Lina Ruz González was a Cuban woman best known as the mother of revolutionary leaders Fidel and Raúl Castro.
  • C. Lina Romay
    Lina Romay was a Mexican-born actress and singer best known as a featured performer in Hollywood films of the 1940s and 1950s.
  • D. Lina Lardi
    Lina Lardi was the partner of Enzo Ferrari and the mother of Piero Ferrari, connected to the founding family of the Ferrari automotive marque.
  • E. Ana Leza
    Ana Leza is a Spanish actress best known for her work in film and television in the 1980s and 1990s and for her former marriage to actor Antonio Banderas.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338be20c8190bc7fe8de050345a2 completed April 19, 2026, 7:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04916eeed88190bf8df75fc83ba145 completed May 13, 2026, 2:57 p.m.
NEDg Description generation batch_6a04924c2fd08190a824c470b732626f completed May 13, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0492e3a6dc8190902bb46bec64c07e completed May 13, 2026, 3:04 p.m.
Created at: April 10, 2026, 11:36 a.m.