Triple

T17595991
Position Surface form Disambiguated ID Type / Status
Subject Maria Elena Aquino E428573 entity
Predicate givenName P17 FINISHED
Object Maria Elena
Maria Elena is a feminine given name of Spanish and Italian origin, commonly used in various Spanish-speaking and Latin cultures.
E1287808 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: Maria Elena | Statement: [Maria Elena Aquino, givenName, Maria Elena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Elena
Context triple: [Maria Elena Aquino, givenName, Maria Elena]
  • A. Fabiola
    Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
  • B. Maria Vargas
    Maria Vargas is the charismatic Spanish dancer-turned-film-star at the center of the 1954 drama "The Barefoot Contessa," whose rise to fame and tragic fate drive the film's narrative.
  • C. Maria Alejandra
    Maria Alejandra is known as the wife of Tico Torres, the drummer of the rock band Bon Jovi.
  • D. María Elena
    María Elena is a small Chilean mining town in the Antofagasta Region, historically known as one of the last nitrate (saltpeter) company towns in the world.
  • E. María Elena
    María Elena is a passionate, volatile Spanish artist portrayed by Penélope Cruz in the film "Vicky Cristina Barcelona."
  • 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: Maria Elena
Triple: [Maria Elena Aquino, givenName, Maria Elena]
Generated description
Maria Elena is a feminine given name of Spanish and Italian origin, commonly used in various Spanish-speaking and Latin cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maria Elena
Target entity description: Maria Elena is a feminine given name of Spanish and Italian origin, commonly used in various Spanish-speaking and Latin cultures.
  • A. Fabiola
    Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
  • B. Maria Vargas
    Maria Vargas is the charismatic Spanish dancer-turned-film-star at the center of the 1954 drama "The Barefoot Contessa," whose rise to fame and tragic fate drive the film's narrative.
  • C. Maria Alejandra
    Maria Alejandra is known as the wife of Tico Torres, the drummer of the rock band Bon Jovi.
  • D. María Elena
    María Elena is a small Chilean mining town in the Antofagasta Region, historically known as one of the last nitrate (saltpeter) company towns in the world.
  • E. María Elena
    María Elena is a passionate, volatile Spanish artist portrayed by Penélope Cruz in the film "Vicky Cristina Barcelona."
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ead59c8190a06519311891af3c completed April 19, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02f82315408190acddb1bb68be7925 completed May 12, 2026, 9:51 a.m.
NEDg Description generation batch_6a02f8aafefc8190b9b0c8622960b69d completed May 12, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_6a02f93053dc8190b0a2aa5ff7dd2019 completed May 12, 2026, 9:56 a.m.
Created at: April 10, 2026, 5:51 a.m.