Triple

T7592992
Position Surface form Disambiguated ID Type / Status
Subject 太郎 E179784 entity
Predicate possibleShortForm P49623 FINISHED
Object Tarou 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: Tarou | Statement: [太郎, possibleShortForm, Tarou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarou
Context triple: [太郎, possibleShortForm, Tarou]
  • 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. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • C. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • D. Tomoyuki
    Tomoyuki is a Japanese masculine given name borne by various notable figures in fields such as the military, arts, and entertainment.
  • E. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • 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: possibleShortForm
Context triple: [太郎, possibleShortForm, Tarou]
  • A. isShort
    Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
  • B. hasThreeLetterForm
    Indicates that an entity’s written or symbolic form consists of exactly three letters.
  • C. termShortenedBy chosen
    Indicates that one term is a shortened, abbreviated, or truncated form derived from another term.
  • D. bearerShortName
    Indicates that an entity serves as the short or abbreviated name used to identify the bearer in the context of a relationship or action.
  • E. isCommonAbbreviation
    Indicates that one term is a widely used shortened or abbreviated form of another term.
  • 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_69c89a957e2881909c7592f673bea26f completed March 29, 2026, 3:20 a.m.
PD Predicate disambiguation batch_69c6f4e2e42c8190afc802c4796c9cc2 completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:53 p.m.