Triple

T16283095
Position Surface form Disambiguated ID Type / Status
Subject Tokyo 2020 Paralympic opening ceremony E395317 entity
Predicate attendee P858 FINISHED
Object Seiko Hashimoto E810291 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: Seiko Hashimoto | Statement: [Tokyo 2020 Paralympic opening ceremony, attendee, Seiko Hashimoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seiko Hashimoto
Context triple: [Tokyo 2020 Paralympic opening ceremony, attendee, Seiko Hashimoto]
  • A. Seiko Hashimoto chosen
    Seiko Hashimoto is a Japanese politician and former Olympic speed skater and track cyclist who served as president of the Tokyo 2020 Organising Committee.
  • B. Ayako Satō
    Ayako Satō is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Satō.
  • C. Haruka Satō
    Haruka Satō is a Japanese individual notable enough to be recognized as a bearer of the common surname Satō.
  • D. Hiroko Satō
    Hiroko Satō was the wife of Eisaku Satō, the Japanese prime minister and Nobel Peace Prize laureate.
  • E. Miyuki Hatoyama
    Miyuki Hatoyama is a Japanese former actress and television personality known for her unconventional, spiritual views and high-profile role as the wife of former Prime Minister Yukio Hatoyama.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24911f11881909c98ddf829f077e9 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003550fc0c8190ba78666da8b3cd81 completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:05 a.m.