Triple

T22163550
Position Surface form Disambiguated ID Type / Status
Subject Los amantes del Círculo Polar E547730 entity
Predicate hasCastMember P2308 FINISHED
Object Nancho Novo
Nancho Novo is a Spanish actor known for his work in film, television, and theater, often appearing in notable Spanish-language productions.
E1522752 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: Nancho Novo | Statement: [Los amantes del Círculo Polar, hasCastMember, Nancho Novo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancho Novo
Context triple: [Los amantes del Círculo Polar, hasCastMember, Nancho Novo]
  • A. Feira Nova
    Feira Nova is a small municipality located in the semi-arid interior region of the state of Sergipe, Brazil.
  • B. Cajón de Almaza
    Cajón de Almaza is a small rural settlement located within the Picunches Department in the Neuquén Province of Argentina.
  • C. Capileira
    Capileira is a picturesque mountain village in Spain’s Alpujarras region, known for its traditional whitewashed houses and dramatic location on the southern slopes of the Sierra Nevada.
  • D. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • E. Chavinillo
    Chavinillo is a small Andean town in central Peru that serves as an administrative and commercial hub for the surrounding rural communities.
  • 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: Nancho Novo
Triple: [Los amantes del Círculo Polar, hasCastMember, Nancho Novo]
Generated description
Nancho Novo is a Spanish actor known for his work in film, television, and theater, often appearing in notable Spanish-language productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nancho Novo
Target entity description: Nancho Novo is a Spanish actor known for his work in film, television, and theater, often appearing in notable Spanish-language productions.
  • A. Feira Nova
    Feira Nova is a small municipality located in the semi-arid interior region of the state of Sergipe, Brazil.
  • B. Cajón de Almaza
    Cajón de Almaza is a small rural settlement located within the Picunches Department in the Neuquén Province of Argentina.
  • C. Capileira
    Capileira is a picturesque mountain village in Spain’s Alpujarras region, known for its traditional whitewashed houses and dramatic location on the southern slopes of the Sierra Nevada.
  • D. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • E. Chavinillo
    Chavinillo is a small Andean town in central Peru that serves as an administrative and commercial hub for the surrounding rural communities.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a2f2f90819080b5bb73a6052c24 completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9ebca89c81908f2c4c3846377be5 completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0a9faeac54819096ff39be4bbd690a completed May 18, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa05b6b7481908cbada539c02556d completed May 18, 2026, 5:15 a.m.
Created at: April 16, 2026, 8:34 p.m.