Triple

T1600384
Position Surface form Disambiguated ID Type / Status
Subject Dwayne De Rosario E34377 entity
Predicate familyName P18 FINISHED
Object De Rosario
De Rosario is the surname of Dwayne De Rosario, a prominent Canadian former professional soccer player known for his goal-scoring and playmaking in Major League Soccer.
E180711 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: De Rosario | Statement: [Dwayne De Rosario, familyName, De Rosario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Rosario
Context triple: [Dwayne De Rosario, familyName, De Rosario]
  • A. El Rosario
    El Rosario is a municipality on the island of Tenerife in Spain’s Canary Islands, known for its coastal landscapes and proximity to the island’s capital, Santa Cruz de Tenerife.
  • B. El Rosario
    El Rosario is a major Mexico City transit hub and neighborhood that serves as a key terminus and interchange point for multiple public transportation lines.
  • C. Rosario
    Rosario is a coastal municipality in the Mexican state of Sinaloa known for its historic architecture, mining heritage, and proximity to the Pacific Ocean.
  • D. Rosario
    Rosario is a major Argentine port city and industrial center located in the province of Santa Fe.
  • E. Vélez
    Vélez is a municipality in Colombia’s Santander Department known for its colonial heritage and traditional sweets.
  • 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: De Rosario
Triple: [Dwayne De Rosario, familyName, De Rosario]
Generated description
De Rosario is the surname of Dwayne De Rosario, a prominent Canadian former professional soccer player known for his goal-scoring and playmaking in Major League Soccer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: De Rosario
Target entity description: De Rosario is the surname of Dwayne De Rosario, a prominent Canadian former professional soccer player known for his goal-scoring and playmaking in Major League Soccer.
  • A. El Rosario
    El Rosario is a municipality on the island of Tenerife in Spain’s Canary Islands, known for its coastal landscapes and proximity to the island’s capital, Santa Cruz de Tenerife.
  • B. El Rosario
    El Rosario is a major Mexico City transit hub and neighborhood that serves as a key terminus and interchange point for multiple public transportation lines.
  • C. Rosario
    Rosario is a coastal municipality in the Mexican state of Sinaloa known for its historic architecture, mining heritage, and proximity to the Pacific Ocean.
  • D. Rosario
    Rosario is a major Argentine port city and industrial center located in the province of Santa Fe.
  • E. Vélez
    Vélez is a municipality in Colombia’s Santander Department known for its colonial heritage and traditional sweets.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9094a27908190bf0d9b5d43617192 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46aafce08190855f8e0b760ab5ac completed March 8, 2026, 9:51 a.m.
NEDg Description generation batch_69ad47c7108081908e78a24983353212 completed March 8, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_69ad481e2c788190af51003898fcbe33 completed March 8, 2026, 9:57 a.m.
Created at: March 4, 2026, 7:28 p.m.