Triple

T6722475
Position Surface form Disambiguated ID Type / Status
Subject Molten E153428 entity
Predicate foundedBy P104 FINISHED
Object Kiyoshi Nobori
Kiyoshi Nobori is an entrepreneur best known as the founder of the sports equipment company Molten.
E843822 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: Kiyoshi Nobori | Statement: [Molten, foundedBy, Kiyoshi Nobori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiyoshi Nobori
Context triple: [Molten, foundedBy, Kiyoshi Nobori]
  • A. Makoto Yamashita
    Makoto Yamashita is a Japanese politician serving as the governor of Nara Prefecture.
  • B. Hideo Saito
    Hideo Saito was a prominent Japanese cellist and conductor renowned as a pioneering music educator who trained many leading conductors, including Seiji Ozawa.
  • C. Yūsaku Kamekura
    Yūsaku Kamekura was a pioneering Japanese graphic designer renowned for his modernist posters and visual identities, including iconic work for the 1964 Tokyo Olympics.
  • D. Kazuhiro Hatakeyama
    Kazuhiro Hatakeyama is a former Japanese professional baseball infielder and power hitter who played primarily for the Tokyo Yakult Swallows in Nippon Professional Baseball.
  • E. Tetsu Katayama
    Tetsu Katayama was a Japanese socialist politician who served as Japan’s first postwar prime minister and the first from a socialist party.
  • 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: Kiyoshi Nobori
Triple: [Molten, foundedBy, Kiyoshi Nobori]
Generated description
Kiyoshi Nobori is an entrepreneur best known as the founder of the sports equipment company Molten.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kiyoshi Nobori
Target entity description: Kiyoshi Nobori is an entrepreneur best known as the founder of the sports equipment company Molten.
  • A. Makoto Yamashita
    Makoto Yamashita is a Japanese politician serving as the governor of Nara Prefecture.
  • B. Hideo Saito
    Hideo Saito was a prominent Japanese cellist and conductor renowned as a pioneering music educator who trained many leading conductors, including Seiji Ozawa.
  • C. Yūsaku Kamekura
    Yūsaku Kamekura was a pioneering Japanese graphic designer renowned for his modernist posters and visual identities, including iconic work for the 1964 Tokyo Olympics.
  • D. Kazuhiro Hatakeyama
    Kazuhiro Hatakeyama is a former Japanese professional baseball infielder and power hitter who played primarily for the Tokyo Yakult Swallows in Nippon Professional Baseball.
  • E. Tetsu Katayama
    Tetsu Katayama was a Japanese socialist politician who served as Japan’s first postwar prime minister and the first from a socialist party.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d139d50c81908b19120f139deaa5 completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2e4b5781c8190b33035b81dd74260 completed April 5, 2026, 10:39 p.m.
NEDg Description generation batch_69d2e6f0aa988190aa9a866afcc2a1a2 completed April 5, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_69d2e78384f48190abb7bdd7fcadcd9a completed April 5, 2026, 10:51 p.m.
Created at: March 27, 2026, 2:08 p.m.