Triple

T11733230
Position Surface form Disambiguated ID Type / Status
Subject Masataka E278952 entity
Predicate hasNotableBearer P458 FINISHED
Object Masataka Kōno (voice actor)
Masataka Kōno is a Japanese voice actor known for his work in anime and related media.
E942281 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: Masataka Kōno (voice actor) | Statement: [Masataka, hasNotableBearer, Masataka Kōno (voice actor)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masataka Kōno (voice actor)
Context triple: [Masataka, hasNotableBearer, Masataka Kōno (voice actor)]
  • A. Masi Oka
    Masi Oka is a Japanese-American actor and digital effects artist best known for his role as Hiro Nakamura on the television series "Heroes."
  • B. Makoto Kobayashi
    Makoto Kobayashi is a Japanese theoretical physicist renowned for his work on CP violation in the Standard Model, for which he shared the 2008 Nobel Prize in Physics.
  • C. Chō (voice actor)
    Chō is a Japanese voice actor and actor known for his versatile character roles in anime, video games, and tokusatsu productions.
  • D. Takashi Koyasu
    Takashi Koyasu was a Japanese businessman best known as the founder of the major national newspaper Yomiuri Shimbun.
  • E. Kōji Yakusho
    Kōji Yakusho is an acclaimed Japanese actor known for his versatile performances in both domestic cinema and international films such as "Shall We Dance?" and "13 Assassins."
  • 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: Masataka Kōno (voice actor)
Triple: [Masataka, hasNotableBearer, Masataka Kōno (voice actor)]
Generated description
Masataka Kōno is a Japanese voice actor known for his work in anime and related media.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Masataka Kōno (voice actor)
Target entity description: Masataka Kōno is a Japanese voice actor known for his work in anime and related media.
  • A. Masi Oka
    Masi Oka is a Japanese-American actor and digital effects artist best known for his role as Hiro Nakamura on the television series "Heroes."
  • B. Makoto Kobayashi
    Makoto Kobayashi is a Japanese theoretical physicist renowned for his work on CP violation in the Standard Model, for which he shared the 2008 Nobel Prize in Physics.
  • C. Chō (voice actor)
    Chō is a Japanese voice actor and actor known for his versatile character roles in anime, video games, and tokusatsu productions.
  • D. Takashi Koyasu
    Takashi Koyasu was a Japanese businessman best known as the founder of the major national newspaper Yomiuri Shimbun.
  • E. Kōji Yakusho
    Kōji Yakusho is an acclaimed Japanese actor known for his versatile performances in both domestic cinema and international films such as "Shall We Dance?" and "13 Assassins."
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4daa7f48190896fc7653e9dd70b completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8406fe8881909722ecb040087e68 completed April 27, 2026, 3:43 p.m.
NEDg Description generation batch_69ef9b68309081909f3f614efeeb2ab1 completed April 27, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_69efd6aba82c81909ff22e6b26db3cfe completed April 27, 2026, 9:35 p.m.
Created at: April 8, 2026, 9:41 p.m.