Triple

T22997497
Position Surface form Disambiguated ID Type / Status
Subject Princess Toshi E572542 entity
Predicate alsoKnownAs P39 FINISHED
Object Aiko, Princess Toshi NE NERFINISHED

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: Aiko, Princess Toshi | Statement: [Princess Toshi, alsoKnownAs, Aiko, Princess Toshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aiko, Princess Toshi
Context triple: [Princess Toshi, alsoKnownAs, Aiko, Princess Toshi]
  • A. Aiko, Princess Toshi chosen
    Aiko, Princess Toshi is the only child of Emperor Naruhito and Empress Masako of Japan and a member of the Japanese imperial family.
  • B. Princess Toshiko
    Princess Toshiko was a Japanese imperial princess of the Higashikuni-no-miya branch of the Imperial Family, known for her role within early 20th-century Japanese court society.
  • C. Princess Sachiko
    Princess Sachiko was a short-lived Japanese imperial princess, the daughter of Emperor Shōwa (Hirohito) and Empress Kōjun.
  • 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 (2 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182f452b48190951fc5dde56c1bb2 completed April 29, 2026, 4:03 a.m.
Created at: April 17, 2026, 3:50 p.m.