Triple
T14769346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elvehjem Museum of Art |
E347085
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Conrad 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 Elvehjem | Statement: [Elvehjem Museum of Art, namedAfter, Conrad Elvehjem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conrad Elvehjem Context triple: [Elvehjem Museum of Art, namedAfter, Conrad 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.
Hugo Ehrlich
Hugo Ehrlich was a Croatian architect known for his significant contributions to early 20th-century architecture in Zagreb.
-
C.
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.
-
D.
Fritz Lipmann
Fritz Lipmann was a German-American biochemist and Nobel laureate best known for discovering coenzyme A and elucidating its central role in cellular metabolism.
-
E.
Tadeus Reichstein
Tadeus Reichstein was a Polish-Swiss chemist and Nobel laureate renowned for his work on the synthesis of vitamin C and adrenal cortex hormones.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81236f081908063bb4350b7b985 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf86730819082cf3f502ec16a46 |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:30 a.m.