Triple

T13753208
Position Surface form Disambiguated ID Type / Status
Subject Tomiichi Murayama E330406 entity
Predicate givenName P17 FINISHED
Object Tomiichi E1101408 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: Tomiichi | Statement: [Tomiichi Murayama, givenName, Tomiichi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomiichi
Context triple: [Tomiichi Murayama, givenName, Tomiichi]
  • A. Tomiichi chosen
    Tomiichi is a Japanese politician best known for serving as Prime Minister of Japan in the mid-1990s.
  • B. Takeo
    Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
  • C. Noboru
    Noboru is a Japanese masculine given name commonly borne by notable figures in politics, sports, and entertainment.
  • D. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • E. Toshihide
    Toshihide is a Japanese given name most notably borne by Nobel Prize–winning theoretical physicist Toshihide Maskawa.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0215cfa08190aaed8b089aff217b completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d72a17c8190b63f9f441731917d completed May 8, 2026, 4:58 a.m.
Created at: April 9, 2026, 10:09 p.m.