Triple

T883067
Position Surface form Disambiguated ID Type / Status
Subject Enrico Caterino Davila E19069 entity
Predicate familyName P18 FINISHED
Object Davila
Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
 E115342 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: Davila | Statement: [Enrico Caterino Davila, familyName, Davila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Davila
Context triple: [Enrico Caterino Davila, familyName, Davila]
  • A. Pascual
    Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • B. San Ildefonso
    San Ildefonso is a historic Spanish town in the province of Segovia, best known for the Royal Palace of La Granja, a former summer residence of the Spanish monarchy.
  • C. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • D. Carvajal
    Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
  • E. Anzures
    Anzures is an upscale residential and commercial neighborhood in Mexico City known for its central location, embassies, and proximity to major business and cultural districts.
  • 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: Davila
Triple: [Enrico Caterino Davila, familyName, Davila]
Generated description
Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Davila
Target entity description: Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • A. Pascual
    Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • B. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • C. San Ildefonso
    San Ildefonso is a historic Spanish town in the province of Segovia, best known for the Royal Palace of La Granja, a former summer residence of the Spanish monarchy.
  • D. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • E. Carvajal
    Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4accda4148190aa628dab14d7f5de completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16f9d07c819097b9cf95d2b708f7 completed March 7, 2026, 12:15 p.m.
NEDg Description generation batch_69ac1a6cee0481908e9e6d7311ee6126 completed March 7, 2026, 12:30 p.m.
NED2 Entity disambiguation (via description) batch_69ac1aebd5d88190830cb66dae2bd0b5 completed March 7, 2026, 12:32 p.m.
Created at: March 1, 2026, 7:39 p.m.