Triple

T6194601
Position Surface form Disambiguated ID Type / Status
Subject Makiko Tanaka E138478 entity
Predicate name P16 FINISHED
Object Makiko Tanaka E138478 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: Makiko Tanaka | Statement: [Makiko Tanaka, name, Makiko Tanaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makiko Tanaka
Context triple: [Makiko Tanaka, name, Makiko Tanaka]
  • A. Makiko Tanaka chosen
    Makiko Tanaka is a Japanese politician and former foreign minister, known as the outspoken daughter of influential former Prime Minister Kakuei Tanaka.
  • B. Atsuko Nishida
    Atsuko Nishida is a Japanese illustrator and character designer best known for creating Pikachu and contributing to many iconic Pokémon designs.
  • C. Akiko Yoshida
    Akiko Yoshida is an individual known primarily through her close personal association with Steve Smith.
  • D. Yuriko Kikuchi
    Yuriko Kikuchi, better known professionally as Rinko Kikuchi, is a Japanese actress acclaimed for her roles in films such as "Babel" and "Pacific Rim."
  • E. Hiroko Koshino
    Hiroko Koshino is a renowned Japanese fashion designer known for her avant-garde collections and influential role in contemporary Japanese fashion.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062443cec81909dc9bafea2f5e7d4 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c67c36eac4819095b6a2b9e8a277f0 completed March 27, 2026, 12:46 p.m.
Created at: March 22, 2026, 4:19 p.m.