Triple

T3670792
Position Surface form Disambiguated ID Type / Status
Subject Christiaan Eijkman E77873 entity
Predicate familyName P18 FINISHED
Object Eijkman
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.
 E376855 NE FINISHED

How this triple was built (4 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. Kao
    Kao is a Chinese surname borne by numerous individuals, including notable figures in science, business, and the arts.
  • B. Taro
    Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
  • C. Koki
    Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
  • D. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • E. Michishio
    Michishio was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait in 1944.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eijkman
Triple: [Christiaan Eijkman, familyName, Eijkman]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eijkman
Target entity description: 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.
  • A. Kao
    Kao is a Chinese surname borne by numerous individuals, including notable figures in science, business, and the arts.
  • B. Taro
    Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
  • C. Koki
    Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
  • D. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • E. Michishio
    Michishio was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait in 1944.
  • F. None of above. chosen

Provenance (5 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc42c96648190abbd5d23b25d6a6b completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48850515c8190bdb9ddcfc0a13f4e completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b48b55ad8081909166e7418cdf0f06 completed March 13, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69b48e1ff9fc8190bb2559b9e55ea2b8 completed March 13, 2026, 10:22 p.m.
Created at: March 8, 2026, 3:25 p.m.