Triple

T21481948
Position Surface form Disambiguated ID Type / Status
Subject Valdés E530013 entity
Predicate hasNotableBearer P458 FINISHED
Object Ana Valdés
Ana Valdés is a notable individual recognized for her contributions in her field, bearing the surname Valdés.
E1487201 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: Ana Valdés | Statement: [Valdés, hasNotableBearer, Ana Valdés]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ana Valdés
Context triple: [Valdés, hasNotableBearer, Ana Valdés]
  • A. Eva Ayllón
    Eva Ayllón is a renowned Peruvian singer celebrated as one of the foremost interpreters and preservers of Afro-Peruvian musical traditions.
  • B. Blanca Parés
    Blanca Parés is a Spanish actress best known for her role in Pedro Almodóvar’s acclaimed film "Julieta."
  • C. Carmen Rabassa
    Carmen Rabassa is known primarily as the wife of acclaimed American literary translator Gregory Rabassa.
  • D. Ana Fabrega
    Ana Fabrega is a comedian, writer, and actress known for her surreal, offbeat humor and her work on the HBO series "Los Espookys."
  • E. Maribel Verdú
    Maribel Verdú is a Spanish actress acclaimed for her work in films such as "Pan’s Labyrinth" and "Y Tu Mamá También."
  • 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: Ana Valdés
Triple: [Valdés, hasNotableBearer, Ana Valdés]
Generated description
Ana Valdés is a notable individual recognized for her contributions in her field, bearing the surname Valdés.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ana Valdés
Target entity description: Ana Valdés is a notable individual recognized for her contributions in her field, bearing the surname Valdés.
  • A. Eva Ayllón
    Eva Ayllón is a renowned Peruvian singer celebrated as one of the foremost interpreters and preservers of Afro-Peruvian musical traditions.
  • B. Blanca Parés
    Blanca Parés is a Spanish actress best known for her role in Pedro Almodóvar’s acclaimed film "Julieta."
  • C. Carmen Rabassa
    Carmen Rabassa is known primarily as the wife of acclaimed American literary translator Gregory Rabassa.
  • D. Ana Fabrega
    Ana Fabrega is a comedian, writer, and actress known for her surreal, offbeat humor and her work on the HBO series "Los Espookys."
  • E. Maribel Verdú
    Maribel Verdú is a Spanish actress acclaimed for her work in films such as "Pan’s Labyrinth" and "Y Tu Mamá También."
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea338f988190a3044f8d02a567fe completed April 23, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e131956081909633fccfffc97cc9 completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e1e8a698819093ed056a1a007aba completed May 17, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09e278b5488190a71119d3c62f64c0 completed May 17, 2026, 3:44 p.m.
Created at: April 16, 2026, 6:21 p.m.