Triple

T18106167
Position Surface form Disambiguated ID Type / Status
Subject Daniel Akaka E433348 entity
Predicate precededBy P97 FINISHED
Object Spark Matsunaga
Spark Matsunaga was a Japanese American World War II veteran and long-serving U.S. senator from Hawaii known for his advocacy of peace and redress for Japanese American internees.
E1306401 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: Spark Matsunaga | Statement: [Daniel Akaka, precededBy, Spark Matsunaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spark Matsunaga
Context triple: [Daniel Akaka, precededBy, Spark Matsunaga]
  • A. Sho Sakurai
    Sho Sakurai is a Japanese singer, rapper, actor, and television personality best known as a member of the popular idol group Arashi.
  • B. Kento Nakamura
    Kento Nakamura is a Japanese individual known primarily as a notable bearer of the Nakamura surname.
  • C. Ryo Ohno
    Ryo Ohno is a Japanese individual notable enough to be recognized as a namesake of the surname Ohno.
  • D. Tamon Yamaguchi
    Tamon Yamaguchi was a prominent Imperial Japanese Navy admiral and carrier task force commander during World War II, best known for his role and death in the Battle of Midway.
  • E. Yuto Nakamura
    Yuto Nakamura is a Japanese given name bearer, likely known as a public figure such as an athlete, entertainer, or professional in Japan.
  • 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: Spark Matsunaga
Triple: [Daniel Akaka, precededBy, Spark Matsunaga]
Generated description
Spark Matsunaga was a Japanese American World War II veteran and long-serving U.S. senator from Hawaii known for his advocacy of peace and redress for Japanese American internees.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Spark Matsunaga
Target entity description: Spark Matsunaga was a Japanese American World War II veteran and long-serving U.S. senator from Hawaii known for his advocacy of peace and redress for Japanese American internees.
  • A. Sho Sakurai
    Sho Sakurai is a Japanese singer, rapper, actor, and television personality best known as a member of the popular idol group Arashi.
  • B. Kento Nakamura
    Kento Nakamura is a Japanese individual known primarily as a notable bearer of the Nakamura surname.
  • C. Ryo Ohno
    Ryo Ohno is a Japanese individual notable enough to be recognized as a namesake of the surname Ohno.
  • D. Tamon Yamaguchi
    Tamon Yamaguchi was a prominent Imperial Japanese Navy admiral and carrier task force commander during World War II, best known for his role and death in the Battle of Midway.
  • E. Yuto Nakamura
    Yuto Nakamura is a Japanese given name bearer, likely known as a public figure such as an athlete, entertainer, or professional in Japan.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddba6b288190af9a5d9c32d16e98 completed April 19, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c36eea4819089619fd895c05893 completed May 12, 2026, 7:15 p.m.
NEDg Description generation batch_6a037e2086708190af48c53800a729fd completed May 12, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_6a037eba5fb88190b2c131260f28df84 completed May 12, 2026, 7:25 p.m.
Created at: April 10, 2026, 10:28 a.m.