Triple

T22691141
Position Surface form Disambiguated ID Type / Status
Subject Keylor Navas E561053 entity
Predicate familyName P18 FINISHED
Object Navas
Navas is a Costa Rican surname most prominently associated with Keylor Navas, the internationally renowned professional football goalkeeper.
 E1549349 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: Navas | Statement: [Keylor Navas, familyName, Navas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Navas
Context triple: [Keylor Navas, familyName, Navas]
  • A. Carrascal
    Carrascal is a coastal municipality in the province of Surigao del Sur in the Philippines, known for its mining industry and fishing communities.
  • B. Goleto
    Goleto is a historic monastic site in southern Italy, known for its medieval abbey founded in the 12th century.
  • C. Crespo
    Crespo is a Spanish-origin surname borne by various notable individuals, including the Argentine footballer Hernán Crespo.
  • D. Ruidíaz
    Ruidíaz is the surname of Peruvian professional footballer Raúl Ruidíaz, a prolific forward known for his goal-scoring in Liga MX and Major League Soccer.
  • E. Ramos
    Ramos is the Grass-type Gym Leader of Coumarine City in the Kalos region in the Pokémon series.
  • 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: Navas
Triple: [Keylor Navas, familyName, Navas]
Generated description
Navas is a Costa Rican surname most prominently associated with Keylor Navas, the internationally renowned professional football goalkeeper.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Navas
Target entity description: Navas is a Costa Rican surname most prominently associated with Keylor Navas, the internationally renowned professional football goalkeeper.
  • A. Carrascal
    Carrascal is a coastal municipality in the province of Surigao del Sur in the Philippines, known for its mining industry and fishing communities.
  • B. Goleto
    Goleto is a historic monastic site in southern Italy, known for its medieval abbey founded in the 12th century.
  • C. Crespo
    Crespo is a Spanish-origin surname borne by various notable individuals, including the Argentine footballer Hernán Crespo.
  • D. Ruidíaz
    Ruidíaz is the surname of Peruvian professional footballer Raúl Ruidíaz, a prolific forward known for his goal-scoring in Liga MX and Major League Soccer.
  • E. Ramos
    Ramos is the Grass-type Gym Leader of Coumarine City in the Kalos region in the Pokémon series.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789adcc48190b4a717166d5dba19 completed April 29, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73fa5a648190b90ba303d1fe2397 completed May 18, 2026, 8:18 p.m.
NEDg Description generation batch_6a0b7755eb048190ba1657a9a09bc24b completed May 18, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0b780c0a4c8190b51b50c1e0e1a114 completed May 18, 2026, 8:35 p.m.
Created at: April 17, 2026, 3:13 p.m.