Triple

T6602833
Position Surface form Disambiguated ID Type / Status
Subject Akie Abe E149041 entity
Predicate name P16 FINISHED
Object Akie Abe E149041 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: Akie Abe | Statement: [Akie Abe, name, Akie Abe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akie Abe
Context triple: [Akie Abe, name, Akie Abe]
  • A. Akie Abe chosen
    Akie Abe is a Japanese radio DJ and socialite best known as the widow of former Prime Minister Shinzo Abe and for her outspoken, sometimes independent political views.
  • B. Akiko Takeshita
    Akiko Takeshita is a Japanese actress known internationally for her supporting role in the film "Lost in Translation."
  • C. Naoko Takeshita
    Naoko Takeshita was the wife of former Japanese Prime Minister Noboru Takeshita and a member of a prominent political family in Japan.
  • D. Nobuko Abe
    Nobuko Abe is a Japanese woman best known as the sister of former Prime Minister Taro Aso.
  • E. Shinobu Hashimoto
    Shinobu Hashimoto was a renowned Japanese screenwriter best known for his collaborations with Akira Kurosawa on classic films such as Rashomon, Seven Samurai, and Ikiru.
  • 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af10303081909541a140f8898979 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7942437bc8190808e60d12b98dcf5 completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 1:56 p.m.