Triple

T16178429
Position Surface form Disambiguated ID Type / Status
Subject Shoji Sadao E392625 entity
Predicate familyName P18 FINISHED
Object Sadao E392625 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: Sadao | Statement: [Shoji Sadao, familyName, Sadao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sadao
Context triple: [Shoji Sadao, familyName, Sadao]
  • A. Sadao Yamanaka
    Sadao Yamanaka was a pioneering Japanese film director of the 1930s, celebrated for his humanistic jidaigeki (period dramas) and regarded as one of cinema’s great lost talents due to his early death.
  • B. Shoji Sadao chosen
    Shoji Sadao was a Japanese-American architect and close collaborator of Buckminster Fuller and Isamu Noguchi, known for his work on innovative geodesic and environmental structures.
  • C. Shoichi
    Shoichi is a Japanese given name commonly used for males.
  • D. Shōjirō
    Shōjirō is a Japanese masculine given name that has been borne by various notable figures in Japan’s political, cultural, and historical spheres.
  • E. Takakichi
    Takakichi is a Japanese given name, notably borne by Takakichi Aso, a member of the prominent Aso family involved in politics and business.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205ab3108190a84fc2dfe61d5044 completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffefe4dc08190a6cc43a448ae6554 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:02 a.m.