Triple

T3020548
Position Surface form Disambiguated ID Type / Status
Subject The Tale of Genji E82442 entity
Predicate hasCharacter P2308 FINISHED
Object Niou no Miya
Niou no Miya is a prominent prince and romantic protagonist in the later chapters of the classic Japanese literary work The Tale of Genji.
 E318407 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: Niou no Miya | Statement: [The Tale of Genji, hasCharacter, Niou no Miya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Niou no Miya
Context triple: [The Tale of Genji, hasCharacter, Niou no Miya]
  • A. Miya
    Miya is a Chadic language spoken in parts of northern Nigeria, known for its complex tonal system and Afroasiatic linguistic roots.
  • B. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
  • C. Miyabi
    Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
  • D. Masayuki
    Masayuki is a Japanese given name commonly used for males.
  • E. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • 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: Niou no Miya
Triple: [The Tale of Genji, hasCharacter, Niou no Miya]
Generated description
Niou no Miya is a prominent prince and romantic protagonist in the later chapters of the classic Japanese literary work The Tale of Genji.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Niou no Miya
Target entity description: Niou no Miya is a prominent prince and romantic protagonist in the later chapters of the classic Japanese literary work The Tale of Genji.
  • A. Miya
    Miya is a Chadic language spoken in parts of northern Nigeria, known for its complex tonal system and Afroasiatic linguistic roots.
  • B. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
  • C. Miyabi
    Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
  • D. Masayuki
    Masayuki is a Japanese given name commonly used for males.
  • E. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a940c048190bc46e2c8001db8c0 completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e73b5988190be0712f4ddea92f7 completed March 11, 2026, 8:57 a.m.
NEDg Description generation batch_69b12f746b50819090f3205a4e0c57f8 completed March 11, 2026, 9:01 a.m.
NED2 Entity disambiguation (via description) batch_69b1cb10a00081909b0ba2734122639c completed March 11, 2026, 8:05 p.m.
Created at: March 8, 2026, 3 p.m.