Triple

T11325329
Position Surface form Disambiguated ID Type / Status
Subject Ryūnosuke E268197 entity
Predicate nameElement P27866 FINISHED
Object nosuke
nosuke is a Japanese masculine given-name element commonly used as the second part of male names, often conveying connotations of assistance or mediation.
 E919239 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: nosuke | Statement: [Ryūnosuke, nameElement, nosuke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: nosuke
Context triple: [Ryūnosuke, nameElement, nosuke]
  • A. Nuk
    Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
  • B. Nomuka
    Nomuka is a small inhabited island in the Haʻapai group of Tonga, known for its traditional villages and surrounding coral reefs.
  • C. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • D. Nuosu
    Nuosu are a subgroup of the Yi people in southwest China, known for their distinct Tibeto-Burman language, script, and highland culture.
  • E. Nos
    Nos is the original Russian title of Nikolai Gogol's satirical short story "The Nose," which follows a St. Petersburg official whose nose leaves his face and develops a life of its own.
  • 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: nosuke
Triple: [Ryūnosuke, nameElement, nosuke]
Generated description
nosuke is a Japanese masculine given-name element commonly used as the second part of male names, often conveying connotations of assistance or mediation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: nosuke
Target entity description: nosuke is a Japanese masculine given-name element commonly used as the second part of male names, often conveying connotations of assistance or mediation.
  • A. Nuk
    Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
  • B. Nomuka
    Nomuka is a small inhabited island in the Haʻapai group of Tonga, known for its traditional villages and surrounding coral reefs.
  • C. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • D. Nuosu
    Nuosu are a subgroup of the Yi people in southwest China, known for their distinct Tibeto-Burman language, script, and highland culture.
  • E. Nos
    Nos is the original Russian title of Nikolai Gogol's satirical short story "The Nose," which follows a St. Petersburg official whose nose leaves his face and develops a life of its own.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e2253881909518cad0f12ef612 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525fb8d74819089d1505d1f0f116c completed April 19, 2026, 6:59 p.m.
NEDg Description generation batch_69e52c82b6108190aec9b6e9d726f803 completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e531c2a4b88190bb1efd57536bae9a completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:32 p.m.