Triple

T13482381
Position Surface form Disambiguated ID Type / Status
Subject Hikaru Genji E318402 entity
Predicate fictionalChild P82383 FINISHED
Object Yūgiri
Yūgiri is a prominent character in The Tale of Genji, known as the dutiful and steady son of Hikaru Genji who contrasts with his father's romantic excesses.
 E1215794 NE FINISHED

How this triple was built (4 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: Yūgiri | Statement: [Hikaru Genji, fictionalChild, Yūgiri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yūgiri
Context triple: [Hikaru Genji, fictionalChild, Yūgiri]
  • A. Yutenji
    Yutenji is a residential neighborhood in Tokyo’s Meguro Ward known for its historic Yutenji Temple and local shopping streets.
  • B. Yonashiro
    Yonashiro was a former town in Okinawa Prefecture, Japan, that later became part of the city of Uruma through municipal merger.
  • C. Naguri
    Naguri is a regional dialect of the Mundari language spoken by Munda communities in eastern India.
  • D. Yodogimi
    Yodogimi was a prominent late-Sengoku and early Edo period noblewoman of Japan, best known as the favored consort of Toyotomi Hideyoshi and the mother of his heir, Toyotomi Hideyori.
  • E. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yūgiri
Triple: [Hikaru Genji, fictionalChild, Yūgiri]
Generated description
Yūgiri is a prominent character in The Tale of Genji, known as the dutiful and steady son of Hikaru Genji who contrasts with his father's romantic excesses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yūgiri
Target entity description: Yūgiri is a prominent character in The Tale of Genji, known as the dutiful and steady son of Hikaru Genji who contrasts with his father's romantic excesses.
  • A. Yutenji
    Yutenji is a residential neighborhood in Tokyo’s Meguro Ward known for its historic Yutenji Temple and local shopping streets.
  • B. Yonashiro
    Yonashiro was a former town in Okinawa Prefecture, Japan, that later became part of the city of Uruma through municipal merger.
  • C. Naguri
    Naguri is a regional dialect of the Mundari language spoken by Munda communities in eastern India.
  • D. Yodogimi
    Yodogimi was a prominent late-Sengoku and early Edo period noblewoman of Japan, best known as the favored consort of Toyotomi Hideyoshi and the mother of his heir, Toyotomi Hideyori.
  • E. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • F. None of above. chosen

Provenance (5 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3868ec8190a6a1803018d4f2d8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a004f3548b48190aec852723654bd35 completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a00509164cc8190a381ba0a1de95ed1 completed May 10, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_6a005447f1948190a939c0051891e444 completed May 10, 2026, 9:47 a.m.
Created at: April 9, 2026, 9:42 p.m.