Triple

T8185734
Position Surface form Disambiguated ID Type / Status
Subject Miyuki Hatoyama E191176 entity
Predicate hasRelative P367 FINISHED
Object Kunio Hatoyama E188828 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: Kunio Hatoyama | Statement: [Miyuki Hatoyama, hasRelative, Kunio Hatoyama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunio Hatoyama
Context triple: [Miyuki Hatoyama, hasRelative, Kunio Hatoyama]
  • A. Kunio Hatoyama chosen
    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.
  • B. 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.
  • C. Kazuo Hatoyama
    Kazuo Hatoyama was a Japanese politician and influential member of the prominent Hatoyama political family.
  • D. Naoto Kan
    Naoto Kan is a Japanese politician who served as Prime Minister of Japan and leader of the Democratic Party of Japan in the early 2010s.
  • E. Ryutaro Hashimoto
    Ryutaro Hashimoto was a Japanese politician who served as Prime Minister of Japan in the late 1990s, known for his administrative and financial reforms.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c52407c8190bd366fce6d4e02cd completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69cecc1842608190bc0fd78e28aa324d completed April 2, 2026, 8:05 p.m.
Created at: March 30, 2026, 5:41 p.m.