Triple

T21274092
Position Surface form Disambiguated ID Type / Status
Subject José Nasazzi E524343 entity
Predicate familyName P18 FINISHED
Object Nasazzi
Nasazzi is a Uruguayan surname best known from José Nasazzi, the legendary early 20th-century footballer who captained Uruguay to Olympic and inaugural World Cup titles.
 E1475170 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: Nasazzi | Statement: [José Nasazzi, familyName, Nasazzi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nasazzi
Context triple: [José Nasazzi, familyName, Nasazzi]
  • A. Gazzo
    Gazzo is an Italian surname most notably associated with American playwright and actor Michael V. Gazzo.
  • B. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • C. Mazzanta
    Mazzanta is a coastal locality and seaside resort area within the municipality of Rosignano Marittimo in Tuscany, Italy.
  • D. Nisseni
    Nisseni are the inhabitants or natives of Caltanissetta, a city in central Sicily, Italy.
  • E. Molazzana
    Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
  • 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: Nasazzi
Triple: [José Nasazzi, familyName, Nasazzi]
Generated description
Nasazzi is a Uruguayan surname best known from José Nasazzi, the legendary early 20th-century footballer who captained Uruguay to Olympic and inaugural World Cup titles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nasazzi
Target entity description: Nasazzi is a Uruguayan surname best known from José Nasazzi, the legendary early 20th-century footballer who captained Uruguay to Olympic and inaugural World Cup titles.
  • A. Gazzo
    Gazzo is an Italian surname most notably associated with American playwright and actor Michael V. Gazzo.
  • B. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • C. Mazzanta
    Mazzanta is a coastal locality and seaside resort area within the municipality of Rosignano Marittimo in Tuscany, Italy.
  • D. Nisseni
    Nisseni are the inhabitants or natives of Caltanissetta, a city in central Sicily, Italy.
  • E. Molazzana
    Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73655717c819092f71ed1920f52b5 completed April 21, 2026, 8:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099008c7788190a9b49d876eb02161 completed May 17, 2026, 9:53 a.m.
NEDg Description generation batch_6a0991a69afc8190bf48f6485998d442 completed May 17, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_6a09922cc57c8190bbf6ce0916e43571 completed May 17, 2026, 10:02 a.m.
Created at: April 16, 2026, 4:01 p.m.