Triple

T23441065
Position Surface form Disambiguated ID Type / Status
Subject Luis Gabelo Conejo E565403 entity
Predicate givenName P17 FINISHED
Object Luis
Luis is the given name of Luis Gabelo Conejo, a notable Costa Rican former football goalkeeper.
E1590659 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 Gabelo Conejo, givenName, Luis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luis
Context triple: [Luis Gabelo Conejo, 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 Gabelo Conejo, givenName, Luis]
Generated description
Luis is the given name of Luis Gabelo Conejo, a notable Costa Rican former football goalkeeper.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luis
Target entity description: Luis is the given name of Luis Gabelo Conejo, a notable Costa Rican former football goalkeeper.
  • A. Luis
    Luis is the given name of Luis de Unzaga y Amézaga, an 18th-century Spanish colonial administrator and governor in North America.
  • 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 the given name of Luis Carrero Blanco, a prominent Spanish admiral and statesman who served as Prime Minister under Francisco Franco.
  • D. Luis
    Luis is a common Spanish given name derived from the Germanic name Ludwig, widely used across Spanish-speaking countries.
  • 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

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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a644f6948190af07b3c4c32fc7ae completed April 29, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf37f7fc8190a289f85adabe8b60 completed May 19, 2026, 10:07 p.m.
NEDg Description generation batch_6a0ce0ffc8c08190a9ef8f8bbdec55b5 completed May 19, 2026, 10:15 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce22ac5ac8190b708bb201fdf3af8 completed May 19, 2026, 10:20 p.m.
Created at: April 17, 2026, 5:51 p.m.