Triple

T11733225
Position Surface form Disambiguated ID Type / Status
Subject Masataka E278952 entity
Predicate hasNotableBearer P458 FINISHED
Object Masataka Kōno (sprinter) E942274 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: Masataka Kōno (sprinter) | Statement: [Masataka, hasNotableBearer, Masataka Kōno (sprinter)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masataka Kōno (sprinter)
Context triple: [Masataka, hasNotableBearer, Masataka Kōno (sprinter)]
  • A. Masataka Kōno (athlete) chosen
    Masataka Kōno is a Japanese athlete best known for his achievements in track and field competitions.
  • B. Masataka Kōno (swimmer)
    Masataka Kōno is a Japanese swimmer known for competing at the international level, including representing Japan at major competitions.
  • C. Masataka Kōno (footballer)
    Masataka Kōno is a Japanese professional footballer known for his career in Japan’s domestic leagues.
  • D. Masataka Kōno (judoka)
    Masataka Kōno is a Japanese judoka known for his competitive achievements in the sport of judo.
  • E. Masataka Kōno (baseball)
    Masataka Kōno is a Japanese professional baseball player known for his career in Nippon Professional Baseball (NPB).
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4daa7f48190896fc7653e9dd70b completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0199f595081908c10ecd7dd3900e7 completed April 28, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:41 p.m.