Triple

T3224741
Position Surface form Disambiguated ID Type / Status
Subject Okada Keisuke E67597 entity
Predicate familyName P18 FINISHED
Object Okada E154785 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: Okada | Statement: [Okada Keisuke, familyName, Okada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okada
Context triple: [Okada Keisuke, familyName, Okada]
  • A. Okada chosen
    Okada is a common Japanese surname borne by numerous notable figures in fields such as sports, politics, and entertainment.
  • B. Owada
    Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
  • C. Okada Keisuke
    Okada Keisuke was a Japanese admiral and politician who served as Prime Minister of Japan in the mid-1930s and survived the attempted coup d'état known as the February 26 Incident.
  • D. Hirakata
    Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
  • E. Baki
    Baki was a prominent 16th-century Ottoman Turkish poet renowned for his refined ghazals and mastery of classical divan literature.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae1c51a48190b4a395650528b5d8 completed March 8, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2625eaa708190b23ca6e575d664a2 completed March 12, 2026, 6:51 a.m.
Created at: March 8, 2026, 3:08 p.m.