Triple

T17249581
Position Surface form Disambiguated ID Type / Status
Subject Luis Orgaz Yoldi E418715 entity
Predicate givenName P17 FINISHED
Object Luis
Luis is a masculine given name of Spanish origin widely used in Spanish-speaking countries and beyond.
 E952830 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: Luis | Statement: [Luis Orgaz Yoldi, givenName, Luis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luis
Context triple: [Luis Orgaz Yoldi, givenName, Luis]
  • A. Luis
    Luis is a friendly human character on Sesame Street who often interacts warmly with Big Bird and the other residents of the neighborhood.
  • B. Luis
    Luis is the Spanish given name of Louis I of Spain, an 18th-century Bourbon king who briefly ruled the country.
  • C. Luis
    Luis is a comedic supporting character in the Marvel Cinematic Universe, best known as Scott Lang’s fast-talking friend and former cellmate in the Ant-Man films.
  • D. Luis
    Luis de Velasco y Aragón was a Spanish nobleman and colonial administrator who served as Viceroy of New Spain and later of Peru in the late 17th and early 18th centuries.
  • E. Luis
    Luis was a Portuguese infante and nobleman who held the title Duke of Beja in the 16th century.
  • 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: Luis
Triple: [Luis Orgaz Yoldi, givenName, Luis]
Generated description
Luis is a masculine given name of Spanish origin widely used in Spanish-speaking countries and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luis
Target entity description: Luis is a masculine given name of Spanish origin widely used in Spanish-speaking countries and beyond.
  • A. Luis chosen
    Luis is a common Spanish given name derived from the Germanic name Ludwig, widely used across Spanish-speaking countries.
  • B. Luis
    Luis is the Spanish given name of Louis I of Spain, an 18th-century Bourbon king who briefly ruled the country.
  • C. Luis
    Luis was a Portuguese infante and nobleman who held the title Duke of Beja in the 16th century.
  • D. Luis
    Luis is a comedic supporting character in the Marvel Cinematic Universe, best known as Scott Lang’s fast-talking friend and former cellmate in the Ant-Man films.
  • E. Luis
    Luis is a friendly human character on Sesame Street who often interacts warmly with Big Bird and the other residents of the neighborhood.
  • F. None of above.

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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e2636f48190b29548ff80402bef completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c3ca3f08190b7da411a5638214e completed May 11, 2026, 7:58 a.m.
NEDg Description generation batch_6a018d9651a48190b8a465741bb5b549 completed May 11, 2026, 8:04 a.m.
NED2 Entity disambiguation (via description) batch_6a018eb4aed881908bf0f6837f373d04 completed May 11, 2026, 8:09 a.m.
Created at: April 10, 2026, 5:39 a.m.