Triple

T601827
Position Surface form Disambiguated ID Type / Status
Subject Akihito E11509 entity
Predicate child P120 FINISHED
Object Fumihito E87550 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: Fumihito | Statement: [Akihito, child, Fumihito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fumihito
Context triple: [Akihito, child, Fumihito]
  • A. Fumihito chosen
    Fumihito is the Crown Prince of Japan and younger son of Emperor Emeritus Akihito, serving as first in line to the Chrysanthemum Throne.
  • B. Harukichi
    Harukichi is a Japanese given name most notably borne by Harukichi Hyakutake, an Imperial Japanese Navy admiral during World War II.
  • C. Shōhō
    Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
  • D. Yamamoto
    Yamamoto is a Japanese surname most famously associated with Admiral Isoroku Yamamoto, the commander-in-chief of the Imperial Japanese Navy during World War II.
  • E. Takuma Tono
    Takuma Tono was a Japanese landscape architect known for bringing traditional Japanese garden design to international prominence, including in the United States.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d7c08648190bbffc8adb4148987 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66662e848819095aca23ceb5eeef2 completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:35 p.m.