Triple

T7005759
Position Surface form Disambiguated ID Type / Status
Subject Kawashima Kiko E162450 entity
Predicate alsoKnownAs P39 FINISHED
Object Princess Kiko E26660 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 Kiko | Statement: [Kawashima Kiko, alsoKnownAs, Princess Kiko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princess Kiko
Context triple: [Kawashima Kiko, alsoKnownAs, Princess Kiko]
  • A. Princess Kiko chosen
    Princess Kiko is a member of Japan’s imperial family, known as the wife of Crown Prince Fumihito and mother of Prince Hisahito, the only male heir of his generation.
  • B. Princess Kako
    Princess Kako is a member of the Japanese imperial family and the second daughter of Crown Prince Fumihito and Crown Princess Kiko.
  • C. Princess Toshi
    Princess Toshi, formally Princess Aiko, is the only child of Emperor Naruhito and Empress Masako of Japan and a member of the Japanese imperial family.
  • D. Princess Keli
    Princess Keli is a royal character from Terry Pratchett’s Discworld novel "Mort," known for her sharp wit, determination, and involvement in the story’s fate-twisting events.
  • E. Princess Nukata
    Princess Nukata was a 7th-century Japanese noblewoman and poet renowned for her waka poetry and prominent role in the early imperial court.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc34b5a88190a793e07dd4d0018b completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a3f5a088190bd0fa2080a8fa648 completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:33 p.m.