Triple

T15165459
Position Surface form Disambiguated ID Type / Status
Subject Perfume E362327 entity
Predicate alsoKnownAs P39 FINISHED
Object のっち
のっち is the stage name of Ayano Ōmoto, a member of the Japanese electro-pop girl group Perfume.
E1142474 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: のっち | Statement: [Perfume, alsoKnownAs, のっち]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: のっち
Context triple: [Perfume, alsoKnownAs, のっち]
  • A. Niúachi
    Niúachi is an alternative name for the Missouria, a Native American tribe historically located in the central United States along the Missouri River.
  • B. Nondito Noroke
    Nondito Noroke is a popular Bengali novel by acclaimed Bangladeshi writer Humayun Ahmed, known for its blend of everyday realism with subtle philosophical and emotional depth.
  • C. Henoko
    Henoko is a coastal district in Nago, Okinawa, Japan, known as a focal point of controversy over the planned relocation and expansion of U.S. military facilities.
  • D. Nozomi
    Nozomi is the fastest and most premium Shinkansen (bullet train) service operating on Japan’s Tokaido and Sanyo lines, known for its high speed and frequent departures between major cities like Tokyo and Osaka.
  • E. Noriko
    Noriko is a common Japanese feminine given name, often written with kanji conveying meanings such as "law," "order," or "child."
  • 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: のっち
Triple: [Perfume, alsoKnownAs, のっち]
Generated description
のっち is the stage name of Ayano Ōmoto, a member of the Japanese electro-pop girl group Perfume.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: のっち
Target entity description: のっち is the stage name of Ayano Ōmoto, a member of the Japanese electro-pop girl group Perfume.
  • A. Niúachi
    Niúachi is an alternative name for the Missouria, a Native American tribe historically located in the central United States along the Missouri River.
  • B. Nondito Noroke
    Nondito Noroke is a popular Bengali novel by acclaimed Bangladeshi writer Humayun Ahmed, known for its blend of everyday realism with subtle philosophical and emotional depth.
  • C. Henoko
    Henoko is a coastal district in Nago, Okinawa, Japan, known as a focal point of controversy over the planned relocation and expansion of U.S. military facilities.
  • D. Nozomi
    Nozomi is the fastest and most premium Shinkansen (bullet train) service operating on Japan’s Tokaido and Sanyo lines, known for its high speed and frequent departures between major cities like Tokyo and Osaka.
  • E. Noriko
    Noriko is a common Japanese feminine given name, often written with kanji conveying meanings such as "law," "order," or "child."
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064c6244819085daf8e1eafdf3f2 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec885d68c8190999529b69bc34fec completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fec93109c08190a3499e4520e31604 completed May 9, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_69fecc6fa8f88190aa6956e6e2b1f8ab completed May 9, 2026, 5:55 a.m.
Created at: April 10, 2026, 3:08 a.m.