Triple

T6922644
Position Surface form Disambiguated ID Type / Status
Subject Kumamoto, Japan E160223 entity
Predicate hasMascot P52 FINISHED
Object Kumamon
Kumamon is a popular black bear mascot character created to promote Japan’s Kumamoto Prefecture, known nationwide for its cute, humorous appearance and extensive merchandising.
 E628600 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: Kumamon | Statement: [Kumamoto, Japan, hasMascot, Kumamon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kumamon
Context triple: [Kumamoto, Japan, hasMascot, Kumamon]
  • A. Okame
    Okame was a historical figure known primarily as the child of the famed Japanese tea master Sen no Rikyū.
  • B. Konny
    Konny is a diminutive form of the given name Konrad, commonly used as an affectionate nickname.
  • C. Mar-kun
    Mar-kun is one of the official mascots of the Japanese professional baseball team Chiba Lotte Marines, typically depicted as a cheerful seagull character supporting the club.
  • D. Kurō
    Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
  • E. Kuki Sanban
    Kuki Sanban is a cheerful, imaginative member of Sector V in the animated series "Codename: Kids Next Door," best known for her love of rainbow monkeys and her codename Numbuh 3.
  • 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: Kumamon
Triple: [Kumamoto, Japan, hasMascot, Kumamon]
Generated description
Kumamon is a popular black bear mascot character created to promote Japan’s Kumamoto Prefecture, known nationwide for its cute, humorous appearance and extensive merchandising.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kumamon
Target entity description: Kumamon is a popular black bear mascot character created to promote Japan’s Kumamoto Prefecture, known nationwide for its cute, humorous appearance and extensive merchandising.
  • A. Okame
    Okame was a historical figure known primarily as the child of the famed Japanese tea master Sen no Rikyū.
  • B. Konny
    Konny is a diminutive form of the given name Konrad, commonly used as an affectionate nickname.
  • C. Mar-kun
    Mar-kun is one of the official mascots of the Japanese professional baseball team Chiba Lotte Marines, typically depicted as a cheerful seagull character supporting the club.
  • D. Kurō
    Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
  • E. Kuki Sanban
    Kuki Sanban is a cheerful, imaginative member of Sector V in the animated series "Codename: Kids Next Door," best known for her love of rainbow monkeys and her codename Numbuh 3.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fd159c819092a69d1a24e22dd5 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75137dd848190b35ff72725f886ba completed March 28, 2026, 3:55 a.m.
NEDg Description generation batch_69c751ebf4f48190bb206dd9c1d8bc7b completed March 28, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_69c75264e65081908859551feaf1006c completed March 28, 2026, 4 a.m.
Created at: March 27, 2026, 2:26 p.m.