Triple

T17143337
Position Surface form Disambiguated ID Type / Status
Subject Rina Satō E416024 entity
Predicate familyName P18 FINISHED
Object Satō E92538 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: Satō | Statement: [Rina Satō, familyName, Satō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satō
Context triple: [Rina Satō, familyName, Satō]
  • A. Satō chosen
    Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • B. Tanaka
    Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • C. Murayama
    Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
  • D. 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.
  • E. Yamada
    Yamada is a common Japanese surname borne by many notable figures across fields such as politics, arts, sports, and academia.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d73c3c81908b875023bb925edb completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0acc773908819084b8d3ef0479e796 completed May 18, 2026, 8:23 a.m.
Created at: April 10, 2026, 5:36 a.m.