Triple

T15629277
Position Surface form Disambiguated ID Type / Status
Subject Ichiro Suzuki E375765 entity
Predicate familyName P18 FINISHED
Object Suzuki E212368 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: Suzuki | Statement: [Ichiro Suzuki, familyName, Suzuki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suzuki
Context triple: [Ichiro Suzuki, familyName, Suzuki]
  • A. Suzuki chosen
    Suzuki is a common Japanese surname borne by many notable individuals across sports, entertainment, and other fields.
  • B. Suzuki Motor Corporation
    Suzuki Motor Corporation is a Japanese multinational automaker best known for its compact cars, motorcycles, and all-terrain vehicles sold worldwide.
  • C. Kawasaki
    Kawasaki is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along the Tama River.
  • D. Yamaha Motor Company
    Yamaha Motor Company is a Japanese manufacturer best known for its motorcycles, marine products, and power equipment, and is one of the world’s leading powersports brands.
  • E. Seto-Chuo Jidōsha-dō
    Seto-Chuo Jidōsha-dō is a major Japanese expressway that crosses the Seto Inland Sea via a series of bridges, linking Honshu and Shikoku.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb4301881908c7157227fdf79b6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f43191c81908c5704314a002608 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.