Triple

T3485732
Position Surface form Disambiguated ID Type / Status
Subject Princess Mako E73601 entity
Predicate spouse P13 FINISHED
Object Kei Komuro E527305 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: Kei Komuro | Statement: [Princess Mako, spouse, Kei Komuro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kei Komuro
Context triple: [Princess Mako, spouse, Kei Komuro]
  • A. Mako Komuro chosen
    Mako Komuro is a former Japanese imperial family member and niece of Emperor Naruhito who left royal status upon marrying commoner Kei Komuro.
  • B. Kenta Izumi
    Kenta Izumi is a Japanese politician who serves as the leader of the main opposition force, the Constitutional Democratic Party of Japan.
  • C. Toru Watanabe
    Toru Watanabe is the introspective university student protagonist of Haruki Murakami’s novel "Norwegian Wood," whose coming-of-age story explores love, loss, and emotional turmoil in 1960s Tokyo.
  • D. Masato Otaka
    Masato Otaka is a Japanese architect associated with the Metabolism movement, known for his contributions to postwar urban planning and visionary megastructure designs.
  • E. Katsuya Okada
    Katsuya Okada is a Japanese politician who has served as leader of the Democratic Party of Japan and as Deputy Prime Minister.
  • 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbb8f205c8190aa6f7484ebad14bb completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfe6131cd481909bbd9eb896258c68 completed March 22, 2026, 12:52 p.m.
Created at: March 8, 2026, 3:18 p.m.