Triple

T16986947
Position Surface form Disambiguated ID Type / Status
Subject Conrad Elvehjem E412091 entity
Predicate hasNameInLanguage P15 FINISHED
Object Conrad Arnold Elvehjem E412091 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: Conrad Arnold Elvehjem | Statement: [Conrad Elvehjem, hasNameInLanguage, Conrad Arnold Elvehjem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conrad Arnold Elvehjem
Context triple: [Conrad Elvehjem, hasNameInLanguage, Conrad Arnold Elvehjem]
  • A. Conrad Elvehjem chosen
    Conrad Elvehjem was an American biochemist best known for identifying niacin as the pellagra-preventing vitamin and for his contributions to nutritional science.
  • B. Max Westheimer
    Max Westheimer was an individual significant enough in his community—likely a local civic or aviation figure—to have an airport named in his honor.
  • C. Benjamin Eichelbaum
    Benjamin Eichelbaum is the son of film mogul Jack Warner, co-founder of Warner Bros.
  • D. Hugo Ehrlich
    Hugo Ehrlich was a Croatian architect known for his significant contributions to early 20th-century architecture in Zagreb.
  • E. Hermann F. Meyer
    Hermann F. Meyer was a notable individual bearing the Meyer surname, recognized enough to be specifically distinguished among people with that name.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d27b58908190a643bcbd105b1849 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc1109a081908890bbd5958c76c2 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.