Triple

T1654256
Position Surface form Disambiguated ID Type / Status
Subject Xavi Hernández E35761 entity
Predicate familyName P18 FINISHED
Object Hernández
Hernández is a common Spanish surname borne by numerous notable figures across sports, arts, and public life.
 E190524 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: Hernández | Statement: [Xavi Hernández, familyName, Hernández]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hernández
Context triple: [Xavi Hernández, familyName, Hernández]
  • A. Herrera
    Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
  • B. Martínez
    Martínez is a common Spanish-language surname widely borne across Spain and Latin America.
  • C. Sosa
    Sosa is a Spanish-origin surname most famously associated with former Major League Baseball slugger Sammy Sosa.
  • D. Bustamante
    Bustamante is a Spanish-origin surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
  • E. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • 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: Hernández
Triple: [Xavi Hernández, familyName, Hernández]
Generated description
Hernández is a common Spanish surname borne by numerous notable figures across sports, arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hernández
Target entity description: Hernández is a common Spanish surname borne by numerous notable figures across sports, arts, and public life.
  • A. Herrera
    Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
  • B. Martínez
    Martínez is a common Spanish-language surname widely borne across Spain and Latin America.
  • C. Sosa
    Sosa is a Spanish-origin surname most famously associated with former Major League Baseball slugger Sammy Sosa.
  • D. Bustamante
    Bustamante is a Spanish-origin surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
  • E. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a8a080c8190b6913d6830d74526 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad798680088190a24dd968aab1baf0 completed March 8, 2026, 1:28 p.m.
NEDg Description generation batch_69ad79e2025881909bd95931293a33c5 completed March 8, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_69ad7a6534608190866b4bf210d888ca completed March 8, 2026, 1:32 p.m.
Created at: March 4, 2026, 7:29 p.m.