Triple

T9942926
Position Surface form Disambiguated ID Type / Status
Subject Ichirō Hatoyama E194127 entity
Predicate familyName P18 FINISHED
Object Hatoyama E744490 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: Hatoyama | Statement: [Ichirō Hatoyama, familyName, Hatoyama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hatoyama
Context triple: [Ichirō Hatoyama, familyName, Hatoyama]
  • A. Hatoyama chosen
    Hatoyama is a prominent Japanese political family name associated with several influential politicians, including former Prime Minister Yukio Hatoyama.
  • B. Kazuo Hatoyama
    Kazuo Hatoyama was a Japanese politician and influential member of the prominent Hatoyama political family.
  • C. Yukio Hatoyama
    Yukio Hatoyama is a Japanese politician who served as Prime Minister of Japan from 2009 to 2010 and was a leading figure in the Democratic Party of Japan.
  • D. Kaoru Hatoyama
    Kaoru Hatoyama was a prominent Japanese educator and political figure who co-founded Kyoritsu Women's University and served as a leading advocate for women's education in Japan.
  • E. Kunio Hatoyama
    Kunio Hatoyama was a Japanese politician and member of the influential Hatoyama political family who served in several ministerial posts, including as Minister of Internal Affairs and Communications.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6124a188190b41feadb7b2f8922 completed April 2, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794653a948190899e60d18446213a completed April 9, 2026, 11:58 a.m.
Created at: March 30, 2026, 8:45 p.m.