Triple

T12709039
Position Surface form Disambiguated ID Type / Status
Subject Yuko Tanaka E303665 entity
Predicate name P16 FINISHED
Object Yuko Tanaka E303665 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: Yuko Tanaka | Statement: [Yuko Tanaka, name, Yuko Tanaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuko Tanaka
Context triple: [Yuko Tanaka, name, Yuko Tanaka]
  • A. Yuko Tanaka chosen
    Yuko Tanaka is a Japanese academic and scholar who has served as president of Hosei University in Tokyo.
  • B. Mayuko Tanaka
    Mayuko Tanaka is a Japanese public figure best known as the daughter of politician Makiko Tanaka and granddaughter of former Prime Minister Kakuei Tanaka.
  • C. Shinobu Tanaka
    Shinobu Tanaka is a Japanese video game composer best known for her work on Nintendo titles, including contributing to the music of Luigi’s Mansion.
  • D. Atsuko Tanaka
    Atsuko Tanaka was a pioneering Japanese avant-garde artist associated with the Gutai group, best known for her experimental paintings and iconic "Electric Dress" made of illuminated bulbs and wires.
  • E. Makiko Tanaka
    Makiko Tanaka is a Japanese politician and former foreign minister, known as the outspoken daughter of influential former Prime Minister Kakuei Tanaka.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96207b2d881908314efc3e350aa78 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8c37eb08190a4c15cb50f84c341 completed May 3, 2026, 2:53 a.m.
Created at: April 9, 2026, 5:23 p.m.