Triple

T14089480
Position Surface form Disambiguated ID Type / Status
Subject Saito E339085 entity
Predicate hasKanjiForm P17917 FINISHED
Object 齋藤 E1080463 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: 齋藤 | Statement: [Saito, hasKanjiForm, 齋藤]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 齋藤
Context triple: [Saito, hasKanjiForm, 齋藤]
  • A. 斎藤邦太郎
    斎藤邦太郎は、日本の政治家・第30代内閣総理大臣である斎藤実の子として知られる人物である。
  • B. 斎藤秀雄
    斎藤秀雄 was a prominent Japanese cellist and conductor, best known as a co-founder and influential teacher at the Toho Gakuen School of Music.
  • C. 斎藤
    斎藤 is a common Japanese surname typically written with the kanji characters 斎 and 藤.
  • D. 齊藤 chosen
    齊藤 is a Japanese surname, typically read as "Saitō," borne by numerous individuals across Japan.
  • E. 吉田遠志
    吉田遠志 was a prominent 20th-century Japanese woodblock print artist known for his landscape and animal prints that blended traditional ukiyo-e techniques with modern sensibilities.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee3213c8190af2853a2a5b302a2 completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7dc62b081909f3c9259295064cf completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:21 p.m.