Triple
T16986912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conrad Elvehjem |
E412091
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Elvehjem
Elvehjem is a surname most notably associated with American biochemist Conrad Elvehjem, known for his work on nutrition and vitamins.
|
E1244339
|
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: Elvehjem | Statement: [Conrad Elvehjem, familyName, Elvehjem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elvehjem Context triple: [Conrad Elvehjem, familyName, Elvehjem]
-
A.
Elterlein
Elterlein is a small town in Saxony, Germany, historically shaped by its location in the Ore Mountains and its role in regional mining.
-
B.
Meineweh
Meineweh is a small municipality in the German state of Saxony-Anhalt that lies within the broader Leipzig metropolitan area.
-
C.
Heimia
Heimia is a small genus of flowering shrubs in the loosestrife family, known for its yellow blooms and traditional medicinal and psychoactive uses in the Americas.
-
D.
Hemma
Hemma was a 9th-century Frankish noblewoman of the Carolingian dynasty, best known as the mother of Emperor Charles the Fat.
-
E.
Flerzheim
Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
- 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: Elvehjem Triple: [Conrad Elvehjem, familyName, Elvehjem]
Generated description
Elvehjem is a surname most notably associated with American biochemist Conrad Elvehjem, known for his work on nutrition and vitamins.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elvehjem Target entity description: Elvehjem is a surname most notably associated with American biochemist Conrad Elvehjem, known for his work on nutrition and vitamins.
-
A.
Elterlein
Elterlein is a small town in Saxony, Germany, historically shaped by its location in the Ore Mountains and its role in regional mining.
-
B.
Meineweh
Meineweh is a small municipality in the German state of Saxony-Anhalt that lies within the broader Leipzig metropolitan area.
-
C.
Heimia
Heimia is a small genus of flowering shrubs in the loosestrife family, known for its yellow blooms and traditional medicinal and psychoactive uses in the Americas.
-
D.
Hemma
Hemma was a 9th-century Frankish noblewoman of the Carolingian dynasty, best known as the mother of Emperor Charles the Fat.
-
E.
Flerzheim
Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
- 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_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. |
| NEDg | Description generation | batch_6a0114d5aeb0819086f1a5d279ac0d0f |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0115c583608190bf07ac205399f253 |
completed | May 10, 2026, 11:33 p.m. |
Created at: April 10, 2026, 5:32 a.m.