Triple

T10570239
Position Surface form Disambiguated ID Type / Status
Subject Fukui Kenichi E249459 entity
Predicate givenName P17 FINISHED
Object Kenichi
Kenichi is a Japanese masculine given name commonly used for boys and men in Japan.
 E873257 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: Kenichi | Statement: [Fukui Kenichi, givenName, Kenichi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kenichi
Context triple: [Fukui Kenichi, givenName, Kenichi]
  • A. Ryūō
    Ryūō is a town in Shiga Prefecture, Japan, known for its location near Lake Biwa and its blend of rural landscapes with growing commercial development.
  • B. Kenkichi
    Kenkichi is a Japanese masculine given name that can be written with various kanji combinations and has been borne by numerous notable figures in fields such as sports, politics, and the arts.
  • C. Shinya
    Shinya is a Japanese given name commonly used for males.
  • D. Takehiro
    Takehiro is a central character in Ryūnosuke Akutagawa’s short story “In a Grove,” whose ambiguous fate is revealed through conflicting eyewitness testimonies.
  • E. Kazuhiko
    Kazuhiko is a Japanese given name commonly used for males.
  • 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: Kenichi
Triple: [Fukui Kenichi, givenName, Kenichi]
Generated description
Kenichi is a Japanese masculine given name commonly used for boys and men in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kenichi
Target entity description: Kenichi is a Japanese masculine given name commonly used for boys and men in Japan.
  • A. Ryūō
    Ryūō is a town in Shiga Prefecture, Japan, known for its location near Lake Biwa and its blend of rural landscapes with growing commercial development.
  • B. Kenkichi
    Kenkichi is a Japanese masculine given name that can be written with various kanji combinations and has been borne by numerous notable figures in fields such as sports, politics, and the arts.
  • C. Shinya
    Shinya is a Japanese given name commonly used for males.
  • D. Takehiro
    Takehiro is a central character in Ryūnosuke Akutagawa’s short story “In a Grove,” whose ambiguous fate is revealed through conflicting eyewitness testimonies.
  • E. Kazuhiko
    Kazuhiko is a Japanese given name commonly used for males.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52730fd4481908b3f4eb80ca209f2 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b55d0f88190bd6853603f67e88d completed April 10, 2026, 7:11 p.m.
NEDg Description generation batch_69d94f759e7c8190a9e2fd030977584d completed April 10, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_69d952c334448190b1c21964b55a3a68 completed April 10, 2026, 7:42 p.m.
Created at: April 6, 2026, 12:37 p.m.