Triple

T12366086
Position Surface form Disambiguated ID Type / Status
Subject Carlos Kotkin E294873 entity
Predicate notableWork P4 FINISHED
Object Rio
Rio is an animated family comedy film set in Brazil that follows a domesticated macaw’s adventurous journey to discover his roots.
E62222 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: [Carlos Kotkin, notableWork, Rio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio
Context triple: [Carlos Kotkin, notableWork, Rio]
  • A. Rio
    Rio is a young, talented hacker and one of the central robbers in the Spanish television series "Money Heist" (La Casa de Papel).
  • B. Rio
    Rio is a settlement located within the municipality of Elba, an island in the Tyrrhenian Sea off the coast of Italy.
  • 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
  • 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: [Carlos Kotkin, notableWork, Rio]
Generated description
Rio is an animated family comedy film set in Brazil that follows a domesticated macaw’s adventurous journey to discover his roots.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rio
Target entity description: Rio is an animated family comedy film set in Brazil that follows a domesticated macaw’s adventurous journey to discover his roots.
  • A. Rio chosen
    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.
  • 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 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.
  • E. 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.
  • F. None of above.

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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa502988190ba170dee90d9f394 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ea215a4819090cea3184f3a231c completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f691fe06c08190b50217ed5ee8449a completed May 3, 2026, 12:08 a.m.
NED2 Entity disambiguation (via description) batch_69f6927aa3188190a1335009282bcc6a completed May 3, 2026, 12:10 a.m.
Created at: April 8, 2026, 9:54 p.m.