Triple

T14990734
Position Surface form Disambiguated ID Type / Status
Subject Carlos PenaVega E373826 entity
Predicate familyName P18 FINISHED
Object Pena
Pena is a Spanish-origin surname borne by numerous individuals across the Spanish-speaking world and beyond.
 E1133699 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: Pena | Statement: [Carlos PenaVega, familyName, Pena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pena
Context triple: [Carlos PenaVega, familyName, Pena]
  • A. Pena
    Pena is a traditional bowed lute-like musical instrument central to the cultural and ritual music of the Meitei people of Manipur in Northeast India.
  • B. Penela
    Penela is a historic municipality in central Portugal known for its medieval castle and scenic location within the Coimbra District.
  • C. Pénjamo
    Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
  • D. PenaVega
    PenaVega is the married surname used by actress and singer Alexa PenaVega, known for her roles in the Spy Kids film series and various television and film projects.
  • E. La Tola
    La Tola is a traditional historic neighborhood in central Quito, Ecuador, known for its colonial-era architecture and proximity to the El Panecillo hill.
  • 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: Pena
Triple: [Carlos PenaVega, familyName, Pena]
Generated description
Pena 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: Pena
Target entity description: Pena is a Spanish-origin surname borne by numerous individuals across the Spanish-speaking world and beyond.
  • A. Pena
    Pena is a traditional bowed lute-like musical instrument central to the cultural and ritual music of the Meitei people of Manipur in Northeast India.
  • B. Penela
    Penela is a historic municipality in central Portugal known for its medieval castle and scenic location within the Coimbra District.
  • C. Pénjamo
    Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
  • D. PenaVega
    PenaVega is the married surname used by actress and singer Alexa PenaVega, known for her roles in the Spy Kids film series and various television and film projects.
  • E. La Tola
    La Tola is a traditional historic neighborhood in central Quito, Ecuador, known for its colonial-era architecture and proximity to the El Panecillo hill.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded715db408190b44e8a8452c79764 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dc7f4b48190b95af06d443fa37c completed May 9, 2026, 2:36 a.m.
NEDg Description generation batch_69fea0791f1c81908dcad401fa3ac245 completed May 9, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_69fea11a35a88190a5ad6f261fd2d9dc completed May 9, 2026, 2:51 a.m.
Created at: April 10, 2026, 2:53 a.m.