Triple

T5121988
Position Surface form Disambiguated ID Type / Status
Subject Juan Carlos Navarro E115489 entity
Predicate nickname P55 FINISHED
Object La Bomba
La Bomba is the famous nickname of Spanish basketball legend Juan Carlos Navarro, renowned for his explosive scoring and clutch shooting.
 E495681 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: La Bomba | Statement: [Juan Carlos Navarro, nickname, La Bomba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Bomba
Context triple: [Juan Carlos Navarro, nickname, La Bomba]
  • A. Las Bombas
    Las Bombas is a Metrobús station in Mexico City that serves as a terminus on Line 5 of the bus rapid transit system.
  • B. Bomba
    Bomba is a traditional Afro-Puerto Rican musical and dance genre characterized by call-and-response singing, barrel drums, and improvisational interaction between dancers and drummers.
  • C. La Banda
    La Banda is a major city in northern Argentina known for its agricultural economy and proximity to the provincial capital, Santiago del Estero.
  • D. El Bombillo
    El Bombillo is the popular nickname of Ecuadorian football club Club Sport Emelec, one of the country's most successful and historic teams.
  • E. Tambor
    Tambor is a surname most notably associated with American actor Jeffrey Tambor, known for his roles in television and film.
  • 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: La Bomba
Triple: [Juan Carlos Navarro, nickname, La Bomba]
Generated description
La Bomba is the famous nickname of Spanish basketball legend Juan Carlos Navarro, renowned for his explosive scoring and clutch shooting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Bomba
Target entity description: La Bomba is the famous nickname of Spanish basketball legend Juan Carlos Navarro, renowned for his explosive scoring and clutch shooting.
  • A. Las Bombas
    Las Bombas is a Metrobús station in Mexico City that serves as a terminus on Line 5 of the bus rapid transit system.
  • B. Bomba
    Bomba is a traditional Afro-Puerto Rican musical and dance genre characterized by call-and-response singing, barrel drums, and improvisational interaction between dancers and drummers.
  • C. La Banda
    La Banda is a major city in northern Argentina known for its agricultural economy and proximity to the provincial capital, Santiago del Estero.
  • D. El Bombillo
    El Bombillo is the popular nickname of Ecuadorian football club Club Sport Emelec, one of the country's most successful and historic teams.
  • E. Tambor
    Tambor is a surname most notably associated with American actor Jeffrey Tambor, known for his roles in television and film.
  • 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd780341ac8190b7403811d340c74f completed March 20, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4b0578c819081ad7554bafafe49 completed March 21, 2026, 4:17 p.m.
NEDg Description generation batch_69bec5f51b5081909f86a9382357d7a4 completed March 21, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_69bec67416c48190aed61c9f37bd718a completed March 21, 2026, 4:25 p.m.
Created at: March 20, 2026, 1:42 p.m.