Triple

T3736508
Position Surface form Disambiguated ID Type / Status
Subject Akasaka Estate E79598 entity
Predicate hasResident P6481 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: [Akasaka Estate, hasResident, Princess Kako]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princess Kako
Context triple: [Akasaka Estate, hasResident, 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 Takako
    Princess Takako is a Japanese imperial family member and daughter of Emperor Hirohito, known for her role in Japan’s modern royal lineage.
  • D. 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.
  • E. Princess Nobuko
    Princess Nobuko was a Japanese imperial princess of the early 20th century who became a member of the Asaka-no-miya house through her marriage to Prince Asaka Yasuhiko.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb3d32b081909a993a78b0869db8 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f02aac60819095e62cc5e792d538 completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:34 p.m.