Triple

T7718048
Position Surface form Disambiguated ID Type / Status
Subject Princess Akishino E174936 entity
Predicate motherOf P120 FINISHED
Object Princess Kako E74243 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: Princess Kako | Statement: [Princess Akishino, motherOf, Princess Kako]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princess Kako
Context triple: [Princess Akishino, motherOf, Princess Kako]
  • A. Princess Kako chosen
    Princess Kako is a member of the Japanese imperial family and the second daughter of Crown Prince Fumihito and Crown Princess Kiko.
  • B. Princess Sachiko
    Princess Sachiko was a short-lived Japanese imperial princess, the daughter of Emperor Shōwa (Hirohito) and Empress Kōjun.
  • C. Princess Sayako
    Princess Sayako is the only daughter of Emperor Emeritus Akihito and Empress Emerita Michiko of Japan, known for relinquishing her imperial status upon marrying a commoner.
  • D. Princess Takako
    Princess Takako is a Japanese imperial family member and daughter of Emperor Hirohito, known for her role in Japan’s modern royal lineage.
  • E. Princess Takamado
    Princess Takamado is a member of the Japanese Imperial Family known for her extensive work in cultural exchange, sports promotion, and international goodwill activities.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ceb23481909600f876023dde92 completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ef0465a4819095c34584e8f80739 completed March 29, 2026, 9:21 a.m.
Created at: March 27, 2026, 4:05 p.m.