Triple

T10357585
Position Surface form Disambiguated ID Type / Status
Subject Tarō E244039 entity
Predicate hasMacronRomanization P93847 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, hasMacronRomanization, Tarō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarō
Context triple: [Tarō, hasMacronRomanization, 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. Tajōmaru
    Tajōmaru is the notorious bandit whose conflicting testimonies drive the plot and themes of truth and perception in Ryūnosuke Akutagawa’s short story "In a Grove."
  • C. Kinnosuke
    Kinnosuke is the given name of the renowned Japanese novelist Natsume Sōseki, a central figure in modern Japanese literature.
  • D. Junnosuke
    Junnosuke is a Japanese given name commonly used for males.
  • E. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • 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: hasMacronRomanization
Context triple: [Tarō, hasMacronRomanization, Tarō]
  • A. hasRomanizationOf
    Indicates that one entity is a romanized representation (written in the Latin alphabet) of the other entity’s original script form.
  • B. hasHakkaRomanization
    Indicates that an entity is associated with a specific representation of its name or term in Hakka Romanization.
  • C. hasRomanizationStandard
    Indicates that an entity’s romanized form follows a specified romanization standard or system.
  • D. hasRomanizationContrast
    Indicates that there is a meaningful difference between two or more romanized representations of the same original form.
  • E. usesKatakanaFor
    Indicates that one entity is written or represented using katakana script in relation to another entity.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9563ea48190b8702b3ef497ed9a completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79529208c81909b39e3ba937c541f completed April 9, 2026, 12:01 p.m.
PD Predicate disambiguation batch_69d4dfa657f481909cc5cc8fec00ad19 completed April 7, 2026, 10:42 a.m.
PDg Predicate description generation batch_69d4e91ce2008190af252c140370b7f2 completed April 7, 2026, 11:23 a.m.
Created at: April 6, 2026, 11:58 a.m.