Triple

T12030380
Position Surface form Disambiguated ID Type / Status
Subject Alva Noto E286387 entity
Predicate hasAlias P455 FINISHED
Object Noto
Noto is the alias of German electronic musician and visual artist Alva Noto, known for his minimalist, experimental sound and multimedia installations.
 E959998 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: Noto | Statement: [Alva Noto, hasAlias, Noto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Noto
Context triple: [Alva Noto, hasAlias, Noto]
  • A. Noto
    Noto is a historic town in southeastern Sicily renowned for its exquisite late Baroque architecture and status as a UNESCO World Heritage Site.
  • B. Nishio
    Nishio is a city in Aichi Prefecture, Japan, known for its high-quality matcha green tea production and traditional Japanese culture.
  • C. Nayot
    Nayot is a residential neighborhood in western Jerusalem, Israel, known for its proximity to major cultural and governmental institutions.
  • D. Teimei
    Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
  • E. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • 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: Noto
Triple: [Alva Noto, hasAlias, Noto]
Generated description
Noto is the alias of German electronic musician and visual artist Alva Noto, known for his minimalist, experimental sound and multimedia installations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Noto
Target entity description: Noto is the alias of German electronic musician and visual artist Alva Noto, known for his minimalist, experimental sound and multimedia installations.
  • A. Noto
    Noto is a historic town in southeastern Sicily renowned for its exquisite late Baroque architecture and status as a UNESCO World Heritage Site.
  • B. Nishio
    Nishio is a city in Aichi Prefecture, Japan, known for its high-quality matcha green tea production and traditional Japanese culture.
  • C. Nayot
    Nayot is a residential neighborhood in western Jerusalem, Israel, known for its proximity to major cultural and governmental institutions.
  • D. Teimei
    Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
  • E. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f24490819092ec911d6ed8e24b completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b8d37ec81908d4a1668e932ca5b completed May 1, 2026, 11:16 a.m.
NEDg Description generation batch_69f48fc8c09c81908b6004eac8bb1c9e completed May 1, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_69f495fbfa2481908a1d757a27909d5a completed May 1, 2026, 12:01 p.m.
Created at: April 8, 2026, 9:47 p.m.