Triple

T14028366
Position Surface form Disambiguated ID Type / Status
Subject Rio Ferdinand E337522 entity
Predicate givenName P17 FINISHED
Object Rio
Rio is a masculine given name used in various cultures, often associated with the Spanish and Portuguese word for "river" and popularized by figures in sports and entertainment.
E1081075 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: Rio | Statement: [Rio Ferdinand, givenName, Rio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio
Context triple: [Rio Ferdinand, givenName, Rio]
  • A. Rio
    "Rio" is a song featured on Mika's album "No Place in Heaven."
  • B. Rio
    Rio is a young, talented hacker and one of the central robbers in the Spanish television series "Money Heist" (La Casa de Papel).
  • C. Rio
    Rio is a settlement located within the municipality of Elba, an island in the Tyrrhenian Sea off the coast of Italy.
  • D. Rio
    "Rio" is a 1982 new wave pop song by Duran Duran, best known for its catchy melody, vibrant production, and iconic music video set in exotic yacht-filled locations.
  • E. Rio
    Rio is a creative work, likely a film or artistic project, associated with Jenico Damasco.
  • 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: Rio
Triple: [Rio Ferdinand, givenName, Rio]
Generated description
Rio is a masculine given name used in various cultures, often associated with the Spanish and Portuguese word for "river" and popularized by figures in sports and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rio
Target entity description: Rio is a masculine given name used in various cultures, often associated with the Spanish and Portuguese word for "river" and popularized by figures in sports and entertainment.
  • A. Rio
    Rio is a creative work, likely a film or artistic project, associated with Jenico Damasco.
  • B. Rio
    Rio is a young, talented hacker and one of the central robbers in the Spanish television series "Money Heist" (La Casa de Papel).
  • C. Rio
    Rio is a coastal town in western Greece, near the city of Patras, known for its strategic location by the Gulf of Patras and the Rio–Antirrio Bridge connecting the Peloponnese to mainland Greece.
  • D. Rio
    "Rio" is a 1982 new wave pop song by Duran Duran, best known for its catchy melody, vibrant production, and iconic music video set in exotic yacht-filled locations.
  • E. Rio
    Rio is a 2011 animated adventure-comedy film set in Brazil that follows a domesticated macaw’s journey of self-discovery amid vibrant music and colorful Rio de Janeiro scenery.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa830ac81908cb7df7c9e81e42a completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdef7a6d881909297d74ae60f7681 completed May 7, 2026, 6:50 p.m.
NEDg Description generation batch_69fce0b657d48190bad13a2b47e7f7d4 completed May 7, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69fce164e3d48190b35a7019deada72c completed May 7, 2026, 7 p.m.
Created at: April 9, 2026, 10:20 p.m.