Triple

T627635
Position Surface form Disambiguated ID Type / Status
Subject Rinko Kikuchi E15853 entity
Predicate familyName P18 FINISHED
Object Kikuchi
Kikuchi is a Japanese surname borne by various notable individuals across fields such as acting, sports, and academia.
 E140627 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: Kikuchi | Statement: [Rinko Kikuchi, familyName, Kikuchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kikuchi
Context triple: [Rinko Kikuchi, familyName, Kikuchi]
  • A. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • B. Kōkyo
    Kōkyo is the primary residence of Japan’s Emperor, a historic palace complex and gardens located in central Tokyo.
  • C. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
  • D. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • E. Arima
    Arima is a borough and one of the major urban centers in eastern Trinidad, known for its cultural heritage and role as a commercial hub in Trinidad and Tobago.
  • 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: Kikuchi
Triple: [Rinko Kikuchi, familyName, Kikuchi]
Generated description
Kikuchi is a Japanese surname borne by various notable individuals across fields such as acting, sports, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kikuchi
Target entity description: Kikuchi is a Japanese surname borne by various notable individuals across fields such as acting, sports, and academia.
  • A. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • B. Kōkyo
    Kōkyo is the primary residence of Japan’s Emperor, a historic palace complex and gardens located in central Tokyo.
  • C. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
  • D. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • E. Arima
    Arima is a borough and one of the major urban centers in eastern Trinidad, known for its cultural heritage and role as a commercial hub in Trinidad and Tobago.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e59e2688190b3c18b17c5db1e2b completed March 1, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac89ee500881908c390ef75da76912 completed March 7, 2026, 8:26 p.m.
NEDg Description generation batch_69ac8a73ac2c8190a5617c6f3d4ae5d1 completed March 7, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69ac8afa5a4881908d8373915eaafb5b completed March 7, 2026, 8:30 p.m.
Created at: March 1, 2026, 7:35 p.m.