Triple

T1480005
Position Surface form Disambiguated ID Type / Status
Subject Francisco Javier de la Lastra E30929 entity
Predicate familyName P18 FINISHED
Object de la Lastra
De la Lastra is a Spanish surname historically associated with notable figures in Spain and Latin America, including military and political leaders.
E169072 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: de la Lastra | Statement: [Francisco Javier de la Lastra, familyName, de la Lastra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de la Lastra
Context triple: [Francisco Javier de la Lastra, familyName, de la Lastra]
  • A. de León
    De León is a Spanish surname of Sephardic Jewish origin historically associated with notable figures in religious and cultural scholarship.
  • B. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • C. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • D. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • E. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • 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: de la Lastra
Triple: [Francisco Javier de la Lastra, familyName, de la Lastra]
Generated description
De la Lastra is a Spanish surname historically associated with notable figures in Spain and Latin America, including military and political leaders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: de la Lastra
Target entity description: De la Lastra is a Spanish surname historically associated with notable figures in Spain and Latin America, including military and political leaders.
  • A. de León
    De León is a Spanish surname of Sephardic Jewish origin historically associated with notable figures in religious and cultural scholarship.
  • B. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • C. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • D. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • E. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c674cc9c819088fc9146c7a7a914 completed March 1, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15aff1288190a3e36324d975d482 completed March 8, 2026, 6:22 a.m.
NEDg Description generation batch_69ad1639e21081908737b51e910ceae3 completed March 8, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69ad16a98fd08190a14f4d7d6b11f5e8 completed March 8, 2026, 6:26 a.m.
Created at: March 1, 2026, 8:11 p.m.