Triple

T13684258
Position Surface form Disambiguated ID Type / Status
Subject Tadashi Yanai E328080 entity
Predicate familyName P18 FINISHED
Object Yanai E869654 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: Yanai | Statement: [Tadashi Yanai, familyName, Yanai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yanai
Context triple: [Tadashi Yanai, familyName, Yanai]
  • A. Yanai chosen
    Yanai is a coastal city in western Japan known for its preserved white-walled merchant quarter and traditional goldfish lanterns.
  • B. Yabu
    Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
  • C. Takizawa
    Takizawa is a city in northeastern Japan known for its rural landscapes and proximity to the regional center of Morioka in Iwate Prefecture.
  • D. Yato
    Yato is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
  • E. Fujinami
    Fujinami is a Japanese surname borne by various notable individuals, including professional athletes and entertainers.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66f8acc8190b2a82b722930b995 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944765488190a97d2bea8c29e698 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.