Triple

T20199355
Position Surface form Disambiguated ID Type / Status
Subject Correa E493170 entity
Predicate hasNotableBearer P458 FINISHED
Object Oscar Correa
Oscar Correa is a notable individual who shares the surname Correa, recognized as a distinguished bearer of that name.
 E1465283 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: Oscar Correa | Statement: [Correa, hasNotableBearer, Oscar Correa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oscar Correa
Context triple: [Correa, hasNotableBearer, Oscar Correa]
  • A. Jorge Correa
    Jorge Correa is a professional footballer known for playing as a midfielder in South American and international leagues.
  • B. Miguel Correa
    Miguel Correa is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Correa.
  • C. Pablo Correa
    Pablo Correa is a Uruguayan former footballer and manager best known for his long and successful coaching spell at French club AS Nancy.
  • D. Oscar Nuñez
    Oscar Nuñez is a Cuban-American actor and comedian best known for his role as accountant Oscar Martinez on the U.S. version of the television series "The Office."
  • E. Christian Gómez
    Christian Gómez is an Argentine attacking midfielder best known in the United States for his standout play with D.C. United in Major League Soccer.
  • 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: Oscar Correa
Triple: [Correa, hasNotableBearer, Oscar Correa]
Generated description
Oscar Correa is a notable individual who shares the surname Correa, recognized as a distinguished bearer of that name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oscar Correa
Target entity description: Oscar Correa is a notable individual who shares the surname Correa, recognized as a distinguished bearer of that name.
  • A. Jorge Correa
    Jorge Correa is a professional footballer known for playing as a midfielder in South American and international leagues.
  • B. Miguel Correa
    Miguel Correa is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Correa.
  • C. Pablo Correa
    Pablo Correa is a Uruguayan former footballer and manager best known for his long and successful coaching spell at French club AS Nancy.
  • D. Oscar Nuñez
    Oscar Nuñez is a Cuban-American actor and comedian best known for his role as accountant Oscar Martinez on the U.S. version of the television series "The Office."
  • E. Christian Gómez
    Christian Gómez is an Argentine attacking midfielder best known in the United States for his standout play with D.C. United in Major League Soccer.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8c0eac81908ffdf72d71d2e5d2 completed April 20, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0950516dc48190b99e318f92a22e6e completed May 17, 2026, 5:21 a.m.
NEDg Description generation batch_6a09533e37b88190ab2f70c648bee969 completed May 17, 2026, 5:33 a.m.
NED2 Entity disambiguation (via description) batch_6a0953aafdf881909d4cc4f956c870b4 completed May 17, 2026, 5:35 a.m.
Created at: April 11, 2026, 11:37 p.m.