Triple

T10995042
Position Surface form Disambiguated ID Type / Status
Subject Ikujiro Nonaka E259841 entity
Predicate familyName P18 FINISHED
Object Nonaka
Nonaka is a Japanese surname most prominently associated with Ikujiro Nonaka, a leading scholar in knowledge management and organizational theory.
 E898714 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: Nonaka | Statement: [Ikujiro Nonaka, familyName, Nonaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nonaka
Context triple: [Ikujiro Nonaka, familyName, Nonaka]
  • A. Munakata
    Munakata is a coastal city in Japan known for its ancient Munakata Taisha Shinto shrines and its location in northern Fukuoka Prefecture on Kyushu Island.
  • B. Nakano
    Nakano is a special ward in Tokyo, Japan, known for its dense urban neighborhoods, anime and subculture shopping areas, and convenient access to central Tokyo.
  • C. Fujinomiya
    Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
  • D. Nishio
    Nishio is a city in Aichi Prefecture, Japan, known for its high-quality matcha green tea production and traditional Japanese culture.
  • E. Fukagawa
    Fukagawa is a historic district in Tokyo, Japan, known for its old merchant quarters, temples, and its association with the haiku poet Matsuo Bashō.
  • 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: Nonaka
Triple: [Ikujiro Nonaka, familyName, Nonaka]
Generated description
Nonaka is a Japanese surname most prominently associated with Ikujiro Nonaka, a leading scholar in knowledge management and organizational theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nonaka
Target entity description: Nonaka is a Japanese surname most prominently associated with Ikujiro Nonaka, a leading scholar in knowledge management and organizational theory.
  • A. Munakata
    Munakata is a coastal city in Japan known for its ancient Munakata Taisha Shinto shrines and its location in northern Fukuoka Prefecture on Kyushu Island.
  • B. Nakano
    Nakano is a special ward in Tokyo, Japan, known for its dense urban neighborhoods, anime and subculture shopping areas, and convenient access to central Tokyo.
  • C. Fujinomiya
    Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
  • D. Nishio
    Nishio is a city in Aichi Prefecture, Japan, known for its high-quality matcha green tea production and traditional Japanese culture.
  • E. Fukagawa
    Fukagawa is a historic district in Tokyo, Japan, known for its old merchant quarters, temples, and its association with the haiku poet Matsuo Bashō.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d795d59ebc8190baff1f50bdc46c1b completed April 9, 2026, 12:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3451451988190add2762b1e1be8ed completed April 18, 2026, 8:47 a.m.
NEDg Description generation batch_69e3556fd3548190a33f04604be947cf completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e3593b0f8481909ed7a90f8bb9839d completed April 18, 2026, 10:13 a.m.
Created at: April 8, 2026, 9:24 p.m.