Triple

T14587607
Position Surface form Disambiguated ID Type / Status
Subject Gunna E342356 entity
Predicate notableWork P4 FINISHED
Object “Fukumean”
“Fukumean” is a popular trap song by American rapper Gunna, known for its catchy flow, minimalist production, and viral success on streaming platforms and social media.
 E1107667 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: “Fukumean” | Statement: [Gunna, notableWork, “Fukumean”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: “Fukumean”
Context triple: [Gunna, notableWork, “Fukumean”]
  • A. Futsunushi
    Futsunushi is a Japanese Shinto war and martial deity often associated with swords, military protection, and the subjugation of hostile lands.
  • B. Fukutsu
    Fukutsu is a coastal city in southwestern Japan known for its beaches and location along the Genkai Sea in Fukuoka Prefecture.
  • C. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • D. Kamoenai
    Kamoenai is a small coastal village in Hokkaido, Japan, known for its fishing industry and scenic natural surroundings.
  • E. Fumi
    Fumi is a Japanese given name element commonly used in various personal names, often carrying meanings related to writing, history, or literature depending on the kanji used.
  • 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: “Fukumean”
Triple: [Gunna, notableWork, “Fukumean”]
Generated description
“Fukumean” is a popular trap song by American rapper Gunna, known for its catchy flow, minimalist production, and viral success on streaming platforms and social media.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: “Fukumean”
Target entity description: “Fukumean” is a popular trap song by American rapper Gunna, known for its catchy flow, minimalist production, and viral success on streaming platforms and social media.
  • A. Futsunushi
    Futsunushi is a Japanese Shinto war and martial deity often associated with swords, military protection, and the subjugation of hostile lands.
  • B. Fukutsu
    Fukutsu is a coastal city in southwestern Japan known for its beaches and location along the Genkai Sea in Fukuoka Prefecture.
  • C. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • D. Kamoenai
    Kamoenai is a small coastal village in Hokkaido, Japan, known for its fishing industry and scenic natural surroundings.
  • E. Fumi
    Fumi is a Japanese given name element commonly used in various personal names, often carrying meanings related to writing, history, or literature depending on the kanji used.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb421bb308190a457425429ef6aa5 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c1768881909eebb0dae15ac964 completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd95e381948190b162cdd61b4dc353 completed May 8, 2026, 7:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd96b9728081909404c21370bde85b completed May 8, 2026, 7:54 a.m.
Created at: April 10, 2026, 1:24 a.m.