Triple

T2195838
Position Surface form Disambiguated ID Type / Status
Subject Francisco Gómez de Sandoval y Rojas, Duke of Lerma E49970 entity
Predicate familyName P18 FINISHED
Object Rojas
Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
 E243504 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: Rojas | Statement: [Francisco Gómez de Sandoval y Rojas, Duke of Lerma, familyName, Rojas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rojas
Context triple: [Francisco Gómez de Sandoval y Rojas, Duke of Lerma, familyName, Rojas]
  • A. Echeverría
    Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
  • B. Montero Ríos
    Montero Ríos is the surname of Eugenio Montero Ríos, a prominent Spanish jurist and politician who served as Prime Minister of Spain in the early 20th century.
  • C. Herrera
    Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
  • D. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • E. Gutiérrez
    Gutiérrez is a common Spanish-language surname borne by numerous individuals across the Spanish-speaking world.
  • 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: Rojas
Triple: [Francisco Gómez de Sandoval y Rojas, Duke of Lerma, familyName, Rojas]
Generated description
Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rojas
Target entity description: Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
  • A. Echeverría
    Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
  • B. Montero Ríos
    Montero Ríos is the surname of Eugenio Montero Ríos, a prominent Spanish jurist and politician who served as Prime Minister of Spain in the early 20th century.
  • C. Herrera
    Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
  • D. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • E. Gutiérrez
    Gutiérrez is a common Spanish-language surname borne by numerous individuals across the Spanish-speaking world.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf77e4f08190a1f5ea601d306596 completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5db7af9881908348ce1ad35f247a completed March 9, 2026, 5:42 a.m.
NEDg Description generation batch_69ae61901ae481908b03844aa300cc33 completed March 9, 2026, 5:58 a.m.
NED2 Entity disambiguation (via description) batch_69ae620812848190814c4c614e8834d1 completed March 9, 2026, 6 a.m.
Created at: March 4, 2026, 7:46 p.m.