Triple

T11409409
Position Surface form Disambiguated ID Type / Status
Subject Matsui E270327 entity
Predicate hasNotableBearer P458 FINISHED
Object Airi Matsui
Airi Matsui is a Japanese actress, model, and former idol known for her work in television dramas, films, and fashion magazines.
 E928273 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: Airi Matsui | Statement: [Matsui, hasNotableBearer, Airi Matsui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Airi Matsui
Context triple: [Matsui, hasNotableBearer, Airi Matsui]
  • A. Rena Matsui
    Rena Matsui is a Japanese actress, singer, and former idol best known as a prominent member of the girl group SKE48 and for her subsequent work in television dramas and films.
  • B. Airi Suzuki
    Airi Suzuki is a Japanese pop singer, actress, and former member of the idol groups °C-ute and Buono! under Hello! Project.
  • C. Yoriko Matsui
    Yoriko Matsui is a Japanese individual notable enough to be recognized as a prominent bearer of the Matsui surname.
  • D. Yui Satō
    Yui Satō is a Japanese given name borne by multiple notable individuals, including figures in entertainment and other public fields.
  • E. Sara Takanashi
    Sara Takanashi is a Japanese ski jumper and one of the most successful female athletes in the sport’s history, holding numerous World Cup victories and overall titles.
  • 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: Airi Matsui
Triple: [Matsui, hasNotableBearer, Airi Matsui]
Generated description
Airi Matsui is a Japanese actress, model, and former idol known for her work in television dramas, films, and fashion magazines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Airi Matsui
Target entity description: Airi Matsui is a Japanese actress, model, and former idol known for her work in television dramas, films, and fashion magazines.
  • A. Rena Matsui
    Rena Matsui is a Japanese actress, singer, and former idol best known as a prominent member of the girl group SKE48 and for her subsequent work in television dramas and films.
  • B. Airi Suzuki
    Airi Suzuki is a Japanese pop singer, actress, and former member of the idol groups °C-ute and Buono! under Hello! Project.
  • C. Yoriko Matsui
    Yoriko Matsui is a Japanese individual notable enough to be recognized as a prominent bearer of the Matsui surname.
  • D. Yui Satō
    Yui Satō is a Japanese given name borne by multiple notable individuals, including figures in entertainment and other public fields.
  • E. Sara Takanashi
    Sara Takanashi is a Japanese ski jumper and one of the most successful female athletes in the sport’s history, holding numerous World Cup victories and overall titles.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014e72748190a01bde2f0105cedb completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e603e6614c8190b61691bd933fa529 completed April 20, 2026, 10:45 a.m.
NEDg Description generation batch_69e610a07bf881908de79850edb9576f completed April 20, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69e617fdaaa88190a1860fb00309596b completed April 20, 2026, 12:11 p.m.
Created at: April 8, 2026, 9:34 p.m.