Triple

T9001915
Position Surface form Disambiguated ID Type / Status
Subject Oreshura E215056 entity
Predicate author P4 FINISHED
Object Yuuji Yuuji E691861 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: Yuuji Yuuji | Statement: [Oreshura, author, Yuuji Yuuji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuuji Yuuji
Context triple: [Oreshura, author, Yuuji Yuuji]
  • A. Yuji
    Yuji is a common Japanese masculine given name used by various real and fictional individuals.
  • B. Yūji chosen
    Yūji is a common Japanese given name for males, typically written with kanji characters that convey positive traits such as courage, gentleness, or excellence.
  • C. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • D. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • E. Yorihito
    Yorihito was a Japanese imperial prince of the Higashifushimi-no-miya house who served as a high-ranking naval officer during the late Meiji and Taishō periods.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6956a6e08190bd3853a7c1c130eb completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0ddb1648190a50f8877218d9883 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:05 p.m.