Triple

T5407177
Position Surface form Disambiguated ID Type / Status
Subject Paula Frías Allende E120920 entity
Predicate familyName P18 FINISHED
Object Frías
Frías is a Spanish-language surname commonly found in Spain and Latin America.
 E517002 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: Frías | Statement: [Paula Frías Allende, familyName, Frías]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Frías
Context triple: [Paula Frías Allende, familyName, Frías]
  • A. Blizne
    Blizne is a village in southeastern Poland best known for its historic wooden All Saints Church, a UNESCO World Heritage Site.
  • B. Frost
    Frost is a common English surname borne by numerous notable individuals, including the American poet Robert Frost.
  • C. Frost
    Frost is the middle name of George F. Kennan, the influential American diplomat and historian known for shaping the U.S. Cold War containment strategy.
  • D. Zima
    Zima is a surname most notably associated with a family of American actresses, including Yvonne Zima and her sisters Madeline and Vanessa.
  • E. Graus
    Graus is a historic town in the province of Huesca, Aragon, Spain, known for its traditional architecture and cultural festivals.
  • 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: Frías
Triple: [Paula Frías Allende, familyName, Frías]
Generated description
Frías is a Spanish-language surname commonly found in Spain and Latin America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Frías
Target entity description: Frías is a Spanish-language surname commonly found in Spain and Latin America.
  • A. Blizne
    Blizne is a village in southeastern Poland best known for its historic wooden All Saints Church, a UNESCO World Heritage Site.
  • B. Frost
    Frost is a common English surname borne by numerous notable individuals, including the American poet Robert Frost.
  • C. Frost
    Frost is the middle name of George F. Kennan, the influential American diplomat and historian known for shaping the U.S. Cold War containment strategy.
  • D. Zima
    Zima is a surname most notably associated with a family of American actresses, including Yvonne Zima and her sisters Madeline and Vanessa.
  • E. Graus
    Graus is a historic town in the province of Huesca, Aragon, Spain, known for its traditional architecture and cultural festivals.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8793ab3c81909992b257d462a554 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3394af9c81909f9a3bb06d48595d completed March 22, 2026, 12:11 a.m.
NEDg Description generation batch_69bf3438c218819098abd4b41f186b67 completed March 22, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_69bf34d20d54819086349a656923f6e9 completed March 22, 2026, 12:16 a.m.
Created at: March 20, 2026, 2:05 p.m.