Triple

T15478695
Position Surface form Disambiguated ID Type / Status
Subject Christiaan Eijkman E376855 entity
Predicate familyName P18 FINISHED
Object Eijkman E376855 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: Eijkman | Statement: [Christiaan Eijkman, familyName, Eijkman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eijkman
Context triple: [Christiaan Eijkman, familyName, Eijkman]
  • A. Eijkman chosen
    Eijkman is the surname of Christiaan Eijkman, a Dutch physician and Nobel Prize–winning physiologist known for his work on the role of vitamins in preventing beriberi.
  • B. Shōkū
    Shōkū was a prominent Japanese Buddhist monk of the Kamakura period and a leading disciple of Hōnen who helped develop and spread Pure Land (Jōdo) teachings.
  • C. Kuku
    Kuku are an ethnic group native to South Sudan, primarily inhabiting parts of Central Equatoria and speaking a Bari-related language.
  • D. Kao
    Kao is a volcanic island in the Haʻapai group of Tonga, notable for being one of the country's highest and most prominent volcanic peaks.
  • E. Kao
    Kao is a Chinese surname borne by numerous individuals, including notable figures in science, business, and the arts.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8a77a081909f12f13660452f4a completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0b3e7881908f195701fe222371 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:34 a.m.