Triple

T8871306
Position Surface form Disambiguated ID Type / Status
Subject Diego de Siloé E211162 entity
Predicate familyName P18 FINISHED
Object de Siloé
de Siloé is the surname associated with the Spanish Renaissance sculptor and architect Diego de Siloé, noted for his influential work in Granada and Burgos.
 E763443 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 Siloé | Statement: [Diego de Siloé, familyName, de Siloé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: de Siloé
Context triple: [Diego de Siloé, familyName, de Siloé]
  • A. Al d’Ossché
    Al d’Ossché is a notable musician recognized for his influential performances and contributions to the tradition of Appalachian dulcimer music.
  • B. Louros
    Louros is a town in northwestern Greece situated near the Louros River in the region of Epirus.
  • C. Chaloub
    Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
  • D. La Blanquilla
    La Blanquilla is a small, sparsely inhabited Caribbean island of Venezuela known for its white-sand beaches, clear waters, and rich marine life popular with divers.
  • E. Triana
    Triana is a historic neighborhood in Las Palmas de Gran Canaria known for its traditional architecture, commercial streets, and cultural significance.
  • 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 Siloé
Triple: [Diego de Siloé, familyName, de Siloé]
Generated description
de Siloé is the surname associated with the Spanish Renaissance sculptor and architect Diego de Siloé, noted for his influential work in Granada and Burgos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: de Siloé
Target entity description: de Siloé is the surname associated with the Spanish Renaissance sculptor and architect Diego de Siloé, noted for his influential work in Granada and Burgos.
  • A. Al d’Ossché
    Al d’Ossché is a notable musician recognized for his influential performances and contributions to the tradition of Appalachian dulcimer music.
  • B. Louros
    Louros is a town in northwestern Greece situated near the Louros River in the region of Epirus.
  • C. Chaloub
    Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
  • D. La Blanquilla
    La Blanquilla is a small, sparsely inhabited Caribbean island of Venezuela known for its white-sand beaches, clear waters, and rich marine life popular with divers.
  • E. Triana
    Triana is a historic neighborhood in Las Palmas de Gran Canaria known for its traditional architecture, commercial streets, and cultural significance.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6126d2f88190979ab25772ee657c completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0ea9f5c8190b5c32fb1fefdc68b completed April 3, 2026, 11:13 a.m.
NEDg Description generation batch_69cfa191d7d0819085a6b9bf7fa56067 completed April 3, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69cfa28b1d1c8190ab4a10ba8fa7259d completed April 3, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:51 p.m.