Triple

T3057003
Position Surface form Disambiguated ID Type / Status
Subject Keio University E60504 entity
Predicate hasNotableAlumni P51 FINISHED
Object Taro Aso E24395 NE FINISHED

How this triple was built (2 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: Taro Aso | Statement: [Keio University, hasNotableAlumni, Taro Aso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taro Aso
Context triple: [Keio University, hasNotableAlumni, Taro Aso]
  • A. Taro Aso chosen
    Taro Aso is a Japanese politician of the Liberal Democratic Party who has served as Prime Minister and long-time senior cabinet member, including as Deputy Prime Minister and Finance Minister.
  • B. Hulusi Akar
    Hulusi Akar is a Turkish general and politician who served as Chief of the General Staff and later as Turkey’s Minister of National Defense.
  • C. Takeo Doi
    Takeo Doi was a Japanese aeronautical engineer best known for designing several World War II fighter aircraft for the Imperial Japanese Army Air Service.
  • D. Natsuo Yamaguchi
    Natsuo Yamaguchi is a Japanese politician who serves as the longtime leader of the Komeito party, a key coalition partner in Japan’s national government.
  • E. Yoshihide Suga
    Yoshihide Suga is a Japanese politician who served as Prime Minister of Japan from 2020 to 2021, succeeding Shinzo Abe and leading the country through the early phase of the COVID-19 pandemic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e13f16c81909e11ed1444c71151 completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef0671e48190a793f907cc211dd8 completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.