Triple

T13459715
Position Surface form Disambiguated ID Type / Status
Subject Murayama E311326 entity
Predicate hasNotableBearer P458 FINISHED
Object Yasuaki Murayama
Yasuaki Murayama is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Murayama.
E1138454 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: Yasuaki Murayama | Statement: [Murayama, hasNotableBearer, Yasuaki Murayama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yasuaki Murayama
Context triple: [Murayama, hasNotableBearer, Yasuaki Murayama]
  • A. Yoshihiko Miyauchi
    Yoshihiko Miyauchi is a Japanese businessman best known for building Orix Corporation into a major global financial services group and serving as its long-time leader.
  • B. Shinji Satō
    Shinji Satō is a Japanese politician who served as a member of the House of Representatives and is known as the son of former Prime Minister Eisaku Satō.
  • C. Ryoichi Hatayama
    Ryoichi Hatayama is a Jaeger pilot in the Pacific Rim universe, known for co-piloting the Mark-6 Jaeger Guardian Bravo against kaiju threats.
  • D. Makoto Satō
    Makoto Satō is a Japanese actor known for his roles in mid-20th-century cinema and television.
  • E. Takashi Satō
    Takashi Satō is a Japanese name shared by multiple individuals, most commonly associated with professionals in fields such as sports, academia, and the arts.
  • 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: Yasuaki Murayama
Triple: [Murayama, hasNotableBearer, Yasuaki Murayama]
Generated description
Yasuaki Murayama is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Murayama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yasuaki Murayama
Target entity description: Yasuaki Murayama is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Murayama.
  • A. Yoshihiko Miyauchi
    Yoshihiko Miyauchi is a Japanese businessman best known for building Orix Corporation into a major global financial services group and serving as its long-time leader.
  • B. Shinji Satō
    Shinji Satō is a Japanese politician who served as a member of the House of Representatives and is known as the son of former Prime Minister Eisaku Satō.
  • C. Ryoichi Hatayama
    Ryoichi Hatayama is a Jaeger pilot in the Pacific Rim universe, known for co-piloting the Mark-6 Jaeger Guardian Bravo against kaiju threats.
  • D. Makoto Satō
    Makoto Satō is a Japanese actor known for his roles in mid-20th-century cinema and television.
  • E. Takashi Satō
    Takashi Satō is a Japanese name shared by multiple individuals, most commonly associated with professionals in fields such as sports, academia, and the arts.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0c177081909178dec61b09c278 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7ca3e348190a75c1dd8aec73a40 completed May 9, 2026, 4:27 a.m.
NEDg Description generation batch_69feba1d256c8190ba13379d0cb8135c completed May 9, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69feba93c4cc819083c683210d1f03f8 completed May 9, 2026, 4:39 a.m.
Created at: April 9, 2026, 9:41 p.m.