Triple

T13846773
Position Surface form Disambiguated ID Type / Status
Subject Adriana Barraza E332826 entity
Predicate familyName P18 FINISHED
Object Barraza
Barraza is a Spanish-language surname most notably associated with Mexican actress and director Adriana Barraza.
 E1065654 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: Barraza | Statement: [Adriana Barraza, familyName, Barraza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barraza
Context triple: [Adriana Barraza, familyName, Barraza]
  • A. Baquero
    Baquero is a Spanish surname most notably associated with actress Ivana Baquero, known for her role in the film "Pan's Labyrinth."
  • B. Blanquillos
    Blanquillos is a popular nickname for the Spanish football club Real Zaragoza, referring to the team’s traditional white kit.
  • C. Garza
    Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
  • D. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • E. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • 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: Barraza
Triple: [Adriana Barraza, familyName, Barraza]
Generated description
Barraza is a Spanish-language surname most notably associated with Mexican actress and director Adriana Barraza.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barraza
Target entity description: Barraza is a Spanish-language surname most notably associated with Mexican actress and director Adriana Barraza.
  • A. Baquero
    Baquero is a Spanish surname most notably associated with actress Ivana Baquero, known for her role in the film "Pan's Labyrinth."
  • B. Blanquillos
    Blanquillos is a popular nickname for the Spanish football club Real Zaragoza, referring to the team’s traditional white kit.
  • C. Garza
    Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
  • D. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • E. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b2a9788190b164760adec64ef6 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f189008190bb9afeef42564a33 completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c23410dc8190972245cecfa85871 completed May 3, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69f7c3031a0c8190ad30d59fe1f2322e completed May 3, 2026, 9:49 p.m.
Created at: April 9, 2026, 10:13 p.m.