Triple

T3002536
Position Surface form Disambiguated ID Type / Status
Subject Infanta Cristina of Spain E81822 entity
Predicate givenName P17 FINISHED
Object Cristina
Cristina is a Spanish infanta and member of the Spanish royal family, known as the daughter of former King Juan Carlos I and Queen Sofía.
 E322147 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: Cristina | Statement: [Infanta Cristina of Spain, givenName, Cristina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cristina
Context triple: [Infanta Cristina of Spain, givenName, Cristina]
  • A. Cristina
    Cristina is one of the two free-spirited American women at the center of Woody Allen’s romantic drama film "Vicky Cristina Barcelona."
  • B. Maria Cerezo
    Maria Cerezo was the wife of Italian explorer and cartographer Amerigo Vespucci, after whom the Americas are named.
  • C. Romina
    Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
  • D. Cristina Banegas
    Cristina Banegas is an acclaimed Argentine actress and director recognized internationally for her powerful performances in film, television, and theater.
  • E. Alejandra
    Alejandra is the feminine given name corresponding to Alejandro, commonly used in Spanish-speaking cultures.
  • 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: Cristina
Triple: [Infanta Cristina of Spain, givenName, Cristina]
Generated description
Cristina is a Spanish infanta and member of the Spanish royal family, known as the daughter of former King Juan Carlos I and Queen Sofía.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cristina
Target entity description: Cristina is a Spanish infanta and member of the Spanish royal family, known as the daughter of former King Juan Carlos I and Queen Sofía.
  • A. Cristina
    Cristina is one of the two free-spirited American women at the center of Woody Allen’s romantic drama film "Vicky Cristina Barcelona."
  • B. Maria Cerezo
    Maria Cerezo was the wife of Italian explorer and cartographer Amerigo Vespucci, after whom the Americas are named.
  • C. Romina
    Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
  • D. Cristina Banegas
    Cristina Banegas is an acclaimed Argentine actress and director recognized internationally for her powerful performances in film, television, and theater.
  • E. Alejandra
    Alejandra is the feminine given name corresponding to Alejandro, commonly used in Spanish-speaking cultures.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a1371c481909e214234afed1a65 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eee3e7dc8190941407d73fc56e0f completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1ef69d49c81908caa41a80718896b completed March 11, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69b1f05e44e08190be8b194938b6c1c7 completed March 11, 2026, 10:44 p.m.
Created at: March 8, 2026, 2:59 p.m.