Triple

T9853698
Position Surface form Disambiguated ID Type / Status
Subject Wilmer Valderrama E239532 entity
Predicate familyName P18 FINISHED
Object Valderrama
Valderrama is a Spanish-language surname most prominently associated with Colombian football legend Carlos Valderrama and American actor Wilmer Valderrama.
 E825040 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: Valderrama | Statement: [Wilmer Valderrama, familyName, Valderrama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Valderrama
Context triple: [Wilmer Valderrama, familyName, Valderrama]
  • A. Dosquebradas
    Dosquebradas is a Colombian city in the Coffee Region known for its industrial activity and close integration with the neighboring city of Pereira.
  • B. Larrea
    Larrea is a genus of hardy desert shrubs in the caltrop family, best known for the creosote bush that dominates many arid landscapes of the Americas.
  • C. Valle Gómez
    Valle Gómez is a Mexico City Metro station on Line 5 serving the Valle Gómez neighborhood in the city.
  • D. Bermeo
    Bermeo is a historic fishing town and port on the Bay of Biscay in northern Spain’s Basque Country.
  • E. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • 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: Valderrama
Triple: [Wilmer Valderrama, familyName, Valderrama]
Generated description
Valderrama is a Spanish-language surname most prominently associated with Colombian football legend Carlos Valderrama and American actor Wilmer Valderrama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Valderrama
Target entity description: Valderrama is a Spanish-language surname most prominently associated with Colombian football legend Carlos Valderrama and American actor Wilmer Valderrama.
  • A. Dosquebradas
    Dosquebradas is a Colombian city in the Coffee Region known for its industrial activity and close integration with the neighboring city of Pereira.
  • B. Larrea
    Larrea is a genus of hardy desert shrubs in the caltrop family, best known for the creosote bush that dominates many arid landscapes of the Americas.
  • C. Valle Gómez
    Valle Gómez is a Mexico City Metro station on Line 5 serving the Valle Gómez neighborhood in the city.
  • D. Bermeo
    Bermeo is a historic fishing town and port on the Bay of Biscay in northern Spain’s Basque Country.
  • E. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb376d32c819089381cf6ed83629d completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5f21a04819099f23ede55ec3417 completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d7a6a87c81908dcd79c776bb19a1 completed April 5, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69d1d82007088190ac372c67a6760e65 completed April 5, 2026, 3:33 a.m.
Created at: March 30, 2026, 8:34 p.m.