Triple

T7876677
Position Surface form Disambiguated ID Type / Status
Subject Michiko Itatani E182873 entity
Predicate name P16 FINISHED
Object Michiko Itatani E182873 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: Michiko Itatani | Statement: [Michiko Itatani, name, Michiko Itatani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michiko Itatani
Context triple: [Michiko Itatani, name, Michiko Itatani]
  • A. Michiko Itatani chosen
    Michiko Itatani is a Japanese-born contemporary artist known for her large-scale, cosmic-themed paintings and long career as a professor at the School of the Art Institute of Chicago.
  • B. Akiko Yoshida
    Akiko Yoshida is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
  • C. Akiko Yoshida
    Akiko Yoshida is an individual known primarily through her close personal association with Steve Smith.
  • D. Makiko Tanaka
    Makiko Tanaka is a Japanese politician and former foreign minister, known as the outspoken daughter of influential former Prime Minister Kakuei Tanaka.
  • E. Tomoko Satō
    Tomoko Satō is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Satō.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39aa7ca88190b88a18f6a8971e51 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93556f0c8190b072c3ec4c8e93bd completed April 1, 2026, 3:39 a.m.
Created at: March 30, 2026, 4:57 p.m.