Triple

T16999480
Position Surface form Disambiguated ID Type / Status
Subject Takahashi Korekiyo E412404 entity
Predicate givenName P17 FINISHED
Object Korekiyo E412404 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: Korekiyo | Statement: [Takahashi Korekiyo, givenName, Korekiyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korekiyo
Context triple: [Takahashi Korekiyo, givenName, Korekiyo]
  • A. Yasuhiko
    Yasuhiko is a Japanese given name notably borne by Prince Asaka Yasuhiko, a member of the Imperial Family of Japan in the early 20th century.
  • B. Noboru
    Noboru is a Japanese masculine given name commonly borne by notable figures in politics, sports, and entertainment.
  • C. Takakichi
    Takakichi is a Japanese given name, notably borne by Takakichi Aso, a member of the prominent Aso family involved in politics and business.
  • D. Yukichi
    Yukichi is the given name of Fukuzawa Yukichi, a prominent 19th-century Japanese intellectual, educator, and advocate of Westernization and modernization.
  • E. Takahashi Korekiyo chosen
    Takahashi Korekiyo was a prominent Japanese statesman and finance minister, known for pioneering expansionary monetary policies that helped Japan recover from the Great Depression.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37cd6248190a7202ae754882640 completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a018c3489848190869bebedcb5c0564 completed May 11, 2026, 7:58 a.m.
Created at: April 10, 2026, 5:32 a.m.