Triple

T14942330
Position Surface form Disambiguated ID Type / Status
Subject Naoko Takeshita E372560 entity
Predicate name P16 FINISHED
Object Naoko Takeshita E372560 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: Naoko Takeshita | Statement: [Naoko Takeshita, name, Naoko Takeshita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naoko Takeshita
Context triple: [Naoko Takeshita, name, Naoko Takeshita]
  • A. Naoko Takeshita chosen
    Naoko Takeshita was the wife of former Japanese Prime Minister Noboru Takeshita and a member of a prominent political family in Japan.
  • B. Akiko Takeshita
    Akiko Takeshita is a Japanese actress known internationally for her supporting role in the film "Lost in Translation."
  • C. Tanaka Makiko
    Tanaka Makiko is a Japanese politician and former foreign minister known for her reformist stance and outspoken criticism of Japan’s political establishment.
  • D. Naoko Satō
    Naoko Satō is a Japanese given name borne by various notable individuals, including figures in entertainment, sports, and the arts.
  • E. 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.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68c1df0819084c0cd61b207d398 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fed31a49d88190a200c427fe02616f completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 2:38 a.m.