Triple

T10550506
Position Surface form Disambiguated ID Type / Status
Subject Junts per Catalunya E248934 entity
Predicate notableMember P10 FINISHED
Object Elsa Artadi
Elsa Artadi is a Catalan economist and politician who has held prominent roles in the pro-independence movement and in the government of Catalonia.
E872289 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: Elsa Artadi | Statement: [Junts per Catalunya, notableMember, Elsa Artadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elsa Artadi
Context triple: [Junts per Catalunya, notableMember, Elsa Artadi]
  • A. María Saura
    María Saura is the daughter of renowned Spanish film director Carlos Saura.
  • B. Pilar Belzunce
    Pilar Belzunce was the wife of renowned Spanish Basque sculptor Eduardo Chillida and a central figure in his personal life and support system.
  • C. Pilar Arcos
    Pilar Arcos was a Spanish-born singer and actress active in early 20th-century American cinema and radio, known for her roles in silent films and Spanish-language productions.
  • D. Pilar Juncosa
    Pilar Juncosa was the wife of Catalan surrealist painter Joan Miró and a key supporter and manager of his artistic legacy.
  • E. Alicia Sierra
    Alicia Sierra is a ruthless and cunning police inspector in the Spanish series "Money Heist," known for her relentless pursuit of the Professor and his gang.
  • 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: Elsa Artadi
Triple: [Junts per Catalunya, notableMember, Elsa Artadi]
Generated description
Elsa Artadi is a Catalan economist and politician who has held prominent roles in the pro-independence movement and in the government of Catalonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elsa Artadi
Target entity description: Elsa Artadi is a Catalan economist and politician who has held prominent roles in the pro-independence movement and in the government of Catalonia.
  • A. María Saura
    María Saura is the daughter of renowned Spanish film director Carlos Saura.
  • B. Pilar Belzunce
    Pilar Belzunce was the wife of renowned Spanish Basque sculptor Eduardo Chillida and a central figure in his personal life and support system.
  • C. Pilar Arcos
    Pilar Arcos was a Spanish-born singer and actress active in early 20th-century American cinema and radio, known for her roles in silent films and Spanish-language productions.
  • D. Pilar Juncosa
    Pilar Juncosa was the wife of Catalan surrealist painter Joan Miró and a key supporter and manager of his artistic legacy.
  • E. Alicia Sierra
    Alicia Sierra is a ruthless and cunning police inspector in the Spanish series "Money Heist," known for her relentless pursuit of the Professor and his gang.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d526d4c4048190a104d6e088f565b3 completed April 7, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b3148dc81908720c27e58a325ab completed April 10, 2026, 7:10 p.m.
NEDg Description generation batch_69d94ca07da481908f2d546f8ddc9326 completed April 10, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69d94e8687bc819082b672a64bf85500 completed April 10, 2026, 7:24 p.m.
Created at: April 6, 2026, 12:34 p.m.