Triple

T14345572
Position Surface form Disambiguated ID Type / Status
Subject Kaoru E355708 entity
Predicate comparedWith P278 FINISHED
Object Niou no Miya E318407 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: Niou no Miya | Statement: [Kaoru, comparedWith, Niou no Miya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niou no Miya
Context triple: [Kaoru, comparedWith, Niou no Miya]
  • A. Niou no Miya chosen
    Niou no Miya is a prominent prince and romantic protagonist in the later chapters of the classic Japanese literary work The Tale of Genji.
  • B. Onna San no Miya
    Onna San no Miya is a character from Murasaki Shikibu’s classic Japanese novel "The Tale of Genji," known as one of Hikaru Genji’s later wives and a figure in the story’s final Uji chapters.
  • C. Naoyoshi
    Naoyoshi is a Japanese given name commonly used for males.
  • D. Nishiarai
    Nishiarai is a neighborhood in Tokyo’s Adachi ward known for its historic temples, shopping streets, and residential character.
  • E. Nozu Michitsura
    Nozu Michitsura was a prominent Japanese general of the Imperial Japanese Army who played a key leadership role in major conflicts of the late 19th and early 20th centuries, including the First Sino-Japanese War and the Russo-Japanese War.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8b81bc8190ace2a575faf55cc0 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4145c081909832e2334a064fb0 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:14 a.m.