Triple

T4272902
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Peña E96981 entity
Predicate familyName P18 FINISHED
Object Peña
Peña is a Spanish-origin surname borne by numerous individuals across the Spanish-speaking world and beyond.
 E427302 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: Peña | Statement: [Jeremy Peña, familyName, Peña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peña
Context triple: [Jeremy Peña, familyName, Peña]
  • A. Mariano
    Mariano is a masculine given name of Spanish and Portuguese origin, commonly used in various Spanish-speaking and Latin cultures.
  • B. Bustamante
    Bustamante is a Spanish-origin surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
  • C. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • D. Pérez
    Pérez is a common Spanish-language surname widely found in Spain and Latin America.
  • E. Rojas
    Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
  • 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: Peña
Triple: [Jeremy Peña, familyName, Peña]
Generated description
Peña is a Spanish-origin surname borne by numerous individuals across the Spanish-speaking world and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peña
Target entity description: Peña is a Spanish-origin surname borne by numerous individuals across the Spanish-speaking world and beyond.
  • A. Mariano
    Mariano is a masculine given name of Spanish and Portuguese origin, commonly used in various Spanish-speaking and Latin cultures.
  • B. Bustamante
    Bustamante is a Spanish-origin surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
  • C. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • D. Pérez
    Pérez is a common Spanish-language surname widely found in Spain and Latin America.
  • E. Rojas
    Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
  • 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ffe44508190875d734eb18dfb87 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7a7fbe0819080076b8d8e4c3bbe completed March 14, 2026, 7:31 p.m.
NEDg Description generation batch_69b5b84b58a081909618d0c108317f92 completed March 14, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5b8c3fb208190b091da57f7b1f704 completed March 14, 2026, 7:36 p.m.
Created at: March 12, 2026, 11:07 p.m.