Triple

T5236389
Position Surface form Disambiguated ID Type / Status
Subject Nihon Shoki E118231 entity
Predicate compiler P3924 FINISHED
Object Prince Toneri
Prince Toneri was an 8th-century Japanese imperial prince and scholar best known for overseeing the compilation of the historical chronicle Nihon Shoki.
E505454 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: Prince Toneri | Statement: [Nihon Shoki, compiler, Prince Toneri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Toneri
Context triple: [Nihon Shoki, compiler, Prince Toneri]
  • A. Prince Tada
    Prince Tada was a Japanese imperial prince of the Higashikuni-no-miya branch of the Imperial Family, noted as a member of this collateral royal house.
  • B. Prince Bolo
    Prince Bolo is a dashing, impulsive warrior prince from Salman Rushdie’s novel "Haroun and the Sea of Stories," known for his melodramatic heroism and quest to rescue Princess Batcheat.
  • C. Prince Ōtomo
    Prince Ōtomo was a Japanese imperial prince of the Asuka period who briefly served as crown prince and de facto ruler before his defeat and death in the Jinshin War of 672.
  • D. Kadaka
    Kadaka is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
  • E. Andanin Vilas
    Andanin Vilas is a daughter of Argentine tennis legend Guillermo Vilas.
  • 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: Prince Toneri
Triple: [Nihon Shoki, compiler, Prince Toneri]
Generated description
Prince Toneri was an 8th-century Japanese imperial prince and scholar best known for overseeing the compilation of the historical chronicle Nihon Shoki.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prince Toneri
Target entity description: Prince Toneri was an 8th-century Japanese imperial prince and scholar best known for overseeing the compilation of the historical chronicle Nihon Shoki.
  • A. Prince Tada
    Prince Tada was a Japanese imperial prince of the Higashikuni-no-miya branch of the Imperial Family, noted as a member of this collateral royal house.
  • B. Prince Bolo
    Prince Bolo is a dashing, impulsive warrior prince from Salman Rushdie’s novel "Haroun and the Sea of Stories," known for his melodramatic heroism and quest to rescue Princess Batcheat.
  • C. Prince Ōtomo
    Prince Ōtomo was a Japanese imperial prince of the Asuka period who briefly served as crown prince and de facto ruler before his defeat and death in the Jinshin War of 672.
  • D. Kadaka
    Kadaka is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
  • E. Andanin Vilas
    Andanin Vilas is a daughter of Argentine tennis legend Guillermo Vilas.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b2595c88190b4ca0b99c2f31472 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef81cca948190ab00302787367f43 completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69befa15850481908fd414672620e0a3 completed March 21, 2026, 8:05 p.m.
NED2 Entity disambiguation (via description) batch_69befa65a42c81908b8fe5661e9567cb completed March 21, 2026, 8:07 p.m.
Created at: March 20, 2026, 1:49 p.m.