Triple

T20236031
Position Surface form Disambiguated ID Type / Status
Subject Justo José de Urquiza E498149 entity
Predicate spouse P13 FINISHED
Object Severina España
Severina España was the wife of Argentine general and president Justo José de Urquiza and a member of 19th-century Argentine high society.
E1419745 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: Severina España | Statement: [Justo José de Urquiza, spouse, Severina España]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Severina España
Context triple: [Justo José de Urquiza, spouse, Severina España]
  • A. Sanchia
    Sanchia was a 13th-century noblewoman from the House of Provence who became Queen of the Romans through her marriage to Richard of Cornwall.
  • B. Santamaría
    Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
  • C. Alfonsa
    Alfonsa is a feminine given name, primarily used in Romance-language cultures, derived from the masculine name Alfonso.
  • D. María Sol
    María Sol is the younger sister of Argentine football star Lionel Messi and a member of the well-known Messi family.
  • E. Soledad Sevilla
    Soledad Sevilla is a renowned Spanish visual artist known for her abstract, often large-scale installations and paintings that explore light, space, and perception.
  • 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: Severina España
Triple: [Justo José de Urquiza, spouse, Severina España]
Generated description
Severina España was the wife of Argentine general and president Justo José de Urquiza and a member of 19th-century Argentine high society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Severina España
Target entity description: Severina España was the wife of Argentine general and president Justo José de Urquiza and a member of 19th-century Argentine high society.
  • A. Sanchia
    Sanchia was a 13th-century noblewoman from the House of Provence who became Queen of the Romans through her marriage to Richard of Cornwall.
  • B. Santamaría
    Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
  • C. Alfonsa
    Alfonsa is a feminine given name, primarily used in Romance-language cultures, derived from the masculine name Alfonso.
  • D. María Sol
    María Sol is the younger sister of Argentine football star Lionel Messi and a member of the well-known Messi family.
  • E. Soledad Sevilla
    Soledad Sevilla is a renowned Spanish visual artist known for her abstract, often large-scale installations and paintings that explore light, space, and perception.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716a5af0819095ea419a4d1f0d1d completed April 20, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a084b90635c8190b7452042a4dcc271 completed May 16, 2026, 10:48 a.m.
NEDg Description generation batch_6a084d86121c8190bba37790a114cfae completed May 16, 2026, 10:57 a.m.
NED2 Entity disambiguation (via description) batch_6a084dded4908190a63889b4c382d76f completed May 16, 2026, 10:58 a.m.
Created at: April 11, 2026, 11:40 p.m.