Triple

T14995544
Position Surface form Disambiguated ID Type / Status
Subject Yalitza Aparicio E373950 entity
Predicate givenName P17 FINISHED
Object Yalitza
Yalitza is a feminine given name most widely recognized through Mexican actress Yalitza Aparicio, who gained international fame for her role in the film "Roma."
 E1131195 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: Yalitza | Statement: [Yalitza Aparicio, givenName, Yalitza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yalitza
Context triple: [Yalitza Aparicio, givenName, Yalitza]
  • A. Graciela
    Graciela is a feminine given name of Spanish origin, often considered a variant of Graziella and related to the concept of grace.
  • B. Tita De la Garza
    Tita De la Garza is the passionate, magically gifted protagonist of Laura Esquivel’s novel "Like Water for Chocolate," whose emotions infuse the food she cooks.
  • C. Sheyla
    Sheyla is a feminine given name, typically considered a variant of Sheila or Shayla and used in various cultures.
  • D. Fabiola
    Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
  • E. Sol Xochitl
    Sol Xochitl is known as the mother of Exodus Tyson, the late daughter of former heavyweight boxing champion Mike Tyson.
  • 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: Yalitza
Triple: [Yalitza Aparicio, givenName, Yalitza]
Generated description
Yalitza is a feminine given name most widely recognized through Mexican actress Yalitza Aparicio, who gained international fame for her role in the film "Roma."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yalitza
Target entity description: Yalitza is a feminine given name most widely recognized through Mexican actress Yalitza Aparicio, who gained international fame for her role in the film "Roma."
  • A. Graciela
    Graciela is a feminine given name of Spanish origin, often considered a variant of Graziella and related to the concept of grace.
  • B. Tita De la Garza
    Tita De la Garza is the passionate, magically gifted protagonist of Laura Esquivel’s novel "Like Water for Chocolate," whose emotions infuse the food she cooks.
  • C. Sheyla
    Sheyla is a feminine given name, typically considered a variant of Sheila or Shayla and used in various cultures.
  • D. Fabiola
    Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
  • E. Sol Xochitl
    Sol Xochitl is known as the mother of Exodus Tyson, the late daughter of former heavyweight boxing champion Mike Tyson.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded718e4288190b5e144f82299a194 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969a63f081908bf11783e2a51229 completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe97609b3481908ed481f9f061b148 completed May 9, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_69fe980155748190aef4ce876f985ef2 completed May 9, 2026, 2:12 a.m.
Created at: April 10, 2026, 2:53 a.m.