Triple

T6881506
Position Surface form Disambiguated ID Type / Status
Subject Pedro Álvarez E158807 entity
Predicate familyName P18 FINISHED
Object Álvarez
Álvarez is a common Spanish surname borne by numerous notable individuals across the Spanish-speaking world.
E625081 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: Álvarez | Statement: [Pedro Álvarez, familyName, Álvarez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Álvarez
Context triple: [Pedro Álvarez, familyName, Álvarez]
  • A. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • B. Javier Álvarez
    Javier Álvarez is a Mexican composer known for his innovative use of electroacoustic techniques and incorporation of diverse musical styles into contemporary classical music.
  • C. Bautista
    Bautista is a Spanish-origin surname common in the Hispanic world and borne by numerous notable figures in sports, politics, and the arts.
  • D. Sanchez
    Sanchez is a common Spanish-origin surname borne by numerous notable individuals across sports, politics, arts, and other fields.
  • E. Marcus Álvarez
    Marcus Álvarez is a central fictional crime boss and founding member of the Mayans Motorcycle Club in the television series Mayans M.C.
  • 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: Álvarez
Triple: [Pedro Álvarez, familyName, Álvarez]
Generated description
Álvarez is a common Spanish surname borne by numerous notable individuals across the Spanish-speaking world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Álvarez
Target entity description: Álvarez is a common Spanish surname borne by numerous notable individuals across the Spanish-speaking world.
  • A. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • B. Javier Álvarez
    Javier Álvarez is a Mexican composer known for his innovative use of electroacoustic techniques and incorporation of diverse musical styles into contemporary classical music.
  • C. Bautista
    Bautista is a Spanish-origin surname common in the Hispanic world and borne by numerous notable figures in sports, politics, and the arts.
  • D. Sanchez
    Sanchez is a common Spanish-origin surname borne by numerous notable individuals across sports, politics, arts, and other fields.
  • E. Marcus Álvarez
    Marcus Álvarez is a central fictional crime boss and founding member of the Mayans Motorcycle Club in the television series Mayans M.C.
  • 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_69c688342f6c8190ad7eea6ba262db99 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8e798c08190b1f494a2c1445514 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742c999cc8190a14aa0ae6c7a1f54 completed March 28, 2026, 2:54 a.m.
NEDg Description generation batch_69c743dffc188190a59ca6c86483c348 completed March 28, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69c7444e57a881908808a4bd96505048 completed March 28, 2026, 3 a.m.
Created at: March 27, 2026, 2:23 p.m.