Triple

T7592960
Position Surface form Disambiguated ID Type / Status
Subject Tarō E179783 entity
Predicate HepburnSpelling P29676 FINISHED
Object Tarō E244039 NE FINISHED

How this triple was built (3 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: Tarō | Statement: [Tarō, HepburnSpelling, Tarō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarō
Context triple: [Tarō, HepburnSpelling, Tarō]
  • A. Tarō chosen
    Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
  • B. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • C. Tetsuzō
    Tetsuzō is an alternate name for Katsushika Hokusai, the renowned Japanese ukiyo-e artist best known for his woodblock print series "Thirty-Six Views of Mount Fuji."
  • D. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • E. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: HepburnSpelling
Context triple: [Tarō, HepburnSpelling, Tarō]
  • A. originalSpelling
    Indicates that one entity provides the initial or historically first-used spelling form of another entity’s name or term.
  • B. usesStandardOrthographyOf chosen
    Indicates that one entity writes or represents language according to the standard orthographic system defined for another entity.
  • C. hasTypicalSpelling
    Indicates that one form is the standard or commonly accepted spelling of another form.
  • D. spellingStability
    Indicates the degree to which the spelling of a word or term remains consistent over time or across different uses.
  • E. spellingGimmick
    Indicates a distinctive or unconventional way of spelling something used for effect or branding rather than standard orthography.
  • F. None of above.

Provenance (4 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9b92c348190b547f0aacfb8d6be completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86197fe0881908307a411cabdca7f completed March 28, 2026, 11:17 p.m.
PD Predicate disambiguation batch_69c6f4e2e42c8190afc802c4796c9cc2 completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:53 p.m.