Triple

T14010758
Position Surface form Disambiguated ID Type / Status
Subject Jemaine Clement E337071 entity
Predicate notableWork P4 FINISHED
Object Rio
"Rio" is a 2011 animated musical comedy film about a domesticated macaw’s adventurous journey to Rio de Janeiro, known for its vibrant visuals, humor, and voice performances including Jemaine Clement.
 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: [Jemaine Clement, notableWork, Rio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rio
Context triple: [Jemaine Clement, notableWork, 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: [Jemaine Clement, notableWork, Rio]
Generated description
"Rio" is a 2011 animated musical comedy film about a domesticated macaw’s adventurous journey to Rio de Janeiro, known for its vibrant visuals, humor, and voice performances including Jemaine Clement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rio
Target entity description: "Rio" is a 2011 animated musical comedy film about a domesticated macaw’s adventurous journey to Rio de Janeiro, known for its vibrant visuals, humor, and voice performances including Jemaine Clement.
  • 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 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.
  • C. Rio
    Rio is a creative work, likely a film or artistic project, associated with Jenico Damasco.
  • D. Rio
    Rio is a young, talented hacker and one of the central robbers in the Spanish television series "Money Heist" (La Casa de Papel).
  • E. Rio
    "Rio" is a song featured on Mika's album "No Place in Heaven."
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed5cfd0819085b9c860b119a9de completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32b459c81908b652286f444e940 completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fc437803508190821dbe3b42f6d727 completed May 7, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69fc43ffa5788190bd190f5fbedd10e4 completed May 7, 2026, 7:49 a.m.
Created at: April 9, 2026, 10:19 p.m.