Triple

T5427428
Position Surface form Disambiguated ID Type / Status
Subject Roland E121395 entity
Predicate hasCognate P2525 FINISHED
Object Rolando (Spanish, Portuguese)
Rolando is the Spanish and Portuguese form of the given name Roland, traditionally associated with medieval chivalric and heroic figures.
 E518544 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: Rolando (Spanish, Portuguese) | Statement: [Roland, hasCognate, Rolando (Spanish, Portuguese)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rolando (Spanish, Portuguese)
Context triple: [Roland, hasCognate, Rolando (Spanish, Portuguese)]
  • A. Molinero (Spanish)
    Molinero is a Spanish occupational surname meaning "miller," equivalent to the German surname Müller (Mueller).
  • B. Gallego
    Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
  • C. Carmelo (Spanish)
    Carmelo (Spanish) is a masculine given name of Spanish origin, traditionally associated with the Virgin of Mount Carmel and used in various Spanish-speaking countries.
  • D. Silao (Spanish)
    Silao (Spanish) refers to the city of Silao, an important industrial and transportation hub located in the state of Guanajuato, Mexico.
  • E. Rollán
    Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
  • 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: Rolando (Spanish, Portuguese)
Triple: [Roland, hasCognate, Rolando (Spanish, Portuguese)]
Generated description
Rolando is the Spanish and Portuguese form of the given name Roland, traditionally associated with medieval chivalric and heroic figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rolando (Spanish, Portuguese)
Target entity description: Rolando is the Spanish and Portuguese form of the given name Roland, traditionally associated with medieval chivalric and heroic figures.
  • A. Molinero (Spanish)
    Molinero is a Spanish occupational surname meaning "miller," equivalent to the German surname Müller (Mueller).
  • B. Gallego
    Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
  • C. Carmelo (Spanish)
    Carmelo (Spanish) is a masculine given name of Spanish origin, traditionally associated with the Virgin of Mount Carmel and used in various Spanish-speaking countries.
  • D. Silao (Spanish)
    Silao (Spanish) refers to the city of Silao, an important industrial and transportation hub located in the state of Guanajuato, Mexico.
  • E. Rollán
    Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8817a2048190a76805da03cfa09b completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3abfc7e88190b8f0a31b61c33973 completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3b592a08819090e2873bcf4e797f completed March 22, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf3c0b9e5481909101eccbd55f24b2 completed March 22, 2026, 12:47 a.m.
Created at: March 20, 2026, 2:06 p.m.