Triple

T21540120
Position Surface form Disambiguated ID Type / Status
Subject Aníbal Cortés E531460 entity
Predicate romanticRelationshipWith P9994 FINISHED
Object Tokyo
Tokyo is a fictional Spanish bank robber and narrator in the television series "Money Heist" ("La Casa de Papel").
 E1408048 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: Tokyo | Statement: [Aníbal Cortés, romanticRelationshipWith, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tokyo
Context triple: [Aníbal Cortés, romanticRelationshipWith, Tokyo]
  • A. Tokyo
    Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
  • B. Tokyo
    "Tokyo" is a popular Afrobeats song by Ghanaian singer King Promise featuring Nigerian artist Wizkid.
  • C. Tokyo
    Tokyo is a central member of the Professor's heist crew in the Spanish television series "Money Heist" ("La Casa de Papel"), known for her impulsive nature and role as one of the show's primary narrators.
  • D. Tokio
    Tokio is a popular asynchronous runtime for the Rust programming language, providing event-driven, non-blocking I/O for building high-performance network and concurrent applications.
  • E. Tōkyō-wan
    Tōkyō-wan is the Japanese name for Tokyo Bay, a major urban bay on the Pacific coast of Honshu that serves as a key economic and transportation hub for the Greater Tokyo Area.
  • 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: Tokyo
Triple: [Aníbal Cortés, romanticRelationshipWith, Tokyo]
Generated description
Tokyo is a fictional Spanish bank robber and narrator in the television series "Money Heist" ("La Casa de Papel").
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tokyo
Target entity description: Tokyo is a fictional Spanish bank robber and narrator in the television series "Money Heist" ("La Casa de Papel").
  • A. Tokyo
    Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
  • B. Tokyo
    "Tokyo" is a popular Afrobeats song by Ghanaian singer King Promise featuring Nigerian artist Wizkid.
  • C. Tokyo chosen
    Tokyo is a central member of the Professor's heist crew in the Spanish television series "Money Heist" ("La Casa de Papel"), known for her impulsive nature and role as one of the show's primary narrators.
  • D. Tokio
    Tokio is a popular asynchronous runtime for the Rust programming language, providing event-driven, non-blocking I/O for building high-performance network and concurrent applications.
  • E. Tōkyō-wan
    Tōkyō-wan is the Japanese name for Tokyo Bay, a major urban bay on the Pacific coast of Honshu that serves as a key economic and transportation hub for the Greater Tokyo Area.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d119e0c8190a207c0e8ae328a95 completed April 26, 2026, 11:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a157fa00881908ec8c99b22a97893 completed May 17, 2026, 7:22 p.m.
NEDg Description generation batch_6a0a160a5dd88190aed38fd0d94a8307 completed May 17, 2026, 7:24 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1681ef548190a8d55be4d00f44e5 completed May 17, 2026, 7:26 p.m.
Created at: April 16, 2026, 6:28 p.m.