Triple

T12709041
Position Surface form Disambiguated ID Type / Status
Subject Yuko Tanaka E303665 entity
Predicate familyName P18 FINISHED
Object Tanaka E153742 NE FINISHED

How this triple was built (2 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: Tanaka | Statement: [Yuko Tanaka, familyName, Tanaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanaka
Context triple: [Yuko Tanaka, familyName, Tanaka]
  • A. Tanaka chosen
    Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • B. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • C. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • D. Takahira
    Takahira was the personal name of Emperor Go-Toba, a late 12th- to early 13th-century Japanese emperor known for his political struggles with the shogunate and his patronage of the arts.
  • E. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96207b2d881908314efc3e350aa78 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3cf630a8819094455fc45a815b83 completed May 8, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:23 p.m.