Triple

T5754209
Position Surface form Disambiguated ID Type / Status
Subject Gutter Rainbows E126925 entity
Predicate producer P490 FINISHED
Object Shuko
Shuko is a German hip-hop producer known for his soulful, sample-based beats and collaborations with artists across the US and Europe.
 E544417 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: Shuko | Statement: [Gutter Rainbows, producer, Shuko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shuko
Context triple: [Gutter Rainbows, producer, Shuko]
  • A. Shingu
    Shingu is a coastal city in Japan known for its historic Kumano Hongu Taisha shrine and its role as a gateway to the sacred Kumano Kodo pilgrimage routes.
  • B. Shobijin
    Shobijin are the tiny twin priestesses who serve as Mothra’s mystical spokespeople and guardians in the Godzilla and broader kaiju film universe.
  • C. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • D. Koromo
    Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
  • E. Asago
    Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
  • 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: Shuko
Triple: [Gutter Rainbows, producer, Shuko]
Generated description
Shuko is a German hip-hop producer known for his soulful, sample-based beats and collaborations with artists across the US and Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shuko
Target entity description: Shuko is a German hip-hop producer known for his soulful, sample-based beats and collaborations with artists across the US and Europe.
  • A. Shingu
    Shingu is a coastal city in Japan known for its historic Kumano Hongu Taisha shrine and its role as a gateway to the sacred Kumano Kodo pilgrimage routes.
  • B. Shobijin
    Shobijin are the tiny twin priestesses who serve as Mothra’s mystical spokespeople and guardians in the Godzilla and broader kaiju film universe.
  • C. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • D. Koromo
    Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
  • E. Asago
    Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02904dcf481909e4340a64ee1034e completed March 22, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e434aa88190b56e721c002d31b8 completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c08be0a25481908ae868b2364fcc68 completed March 23, 2026, 12:40 a.m.
NED2 Entity disambiguation (via description) batch_69c08c926fc88190a3a06081c1da364e completed March 23, 2026, 12:42 a.m.
Created at: March 22, 2026, 3:49 p.m.