Triple

T16534992
Position Surface form Disambiguated ID Type / Status
Subject Matsukata Masayoshi E401668 entity
Predicate familyName P18 FINISHED
Object Matsukata
Matsukata is a Japanese surname most notably associated with Matsukata Masayoshi, a prominent Meiji-era statesman and former Prime Minister of Japan.
 E1438580 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: Matsukata | Statement: [Matsukata Masayoshi, familyName, Matsukata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matsukata
Context triple: [Matsukata Masayoshi, familyName, Matsukata]
  • A. Tsumago
    Tsumago is a well-preserved former post town on Japan’s historic Nakasendō route, known for its traditional wooden buildings and Edo-period atmosphere.
  • B. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • C. Machimura
    Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
  • D. Shiroishi
    Shiroishi is a Japanese city in Miyagi Prefecture known for Shiroishi Castle and its historical connection to the samurai era.
  • E. Makogai
    Makogai is a small Fijian island historically known for its former leper colony and rich marine biodiversity.
  • 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: Matsukata
Triple: [Matsukata Masayoshi, familyName, Matsukata]
Generated description
Matsukata is a Japanese surname most notably associated with Matsukata Masayoshi, a prominent Meiji-era statesman and former Prime Minister of Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matsukata
Target entity description: Matsukata is a Japanese surname most notably associated with Matsukata Masayoshi, a prominent Meiji-era statesman and former Prime Minister of Japan.
  • A. Tsumago
    Tsumago is a well-preserved former post town on Japan’s historic Nakasendō route, known for its traditional wooden buildings and Edo-period atmosphere.
  • B. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • C. Machimura
    Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
  • D. Shiroishi
    Shiroishi is a Japanese city in Miyagi Prefecture known for Shiroishi Castle and its historical connection to the samurai era.
  • E. Makogai
    Makogai is a small Fijian island historically known for its former leper colony and rich marine biodiversity.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e345574d88819094548367bf983078 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08acc36a288190ba1a5d610c365258 completed May 16, 2026, 5:43 p.m.
NEDg Description generation batch_6a08adf778fc819087fa57048192829e completed May 16, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_6a08aeaf2be88190bac218c7de1544fc completed May 16, 2026, 5:51 p.m.
Created at: April 10, 2026, 5:15 a.m.