Triple
T7912224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann Friedrich Gmelin |
E183726
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gmelin
Gmelin is a German surname historically associated with several notable scientists, including chemists, botanists, and naturalists.
|
E696738
|
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: Gmelin | Statement: [Johann Friedrich Gmelin, familyName, Gmelin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gmelin Context triple: [Johann Friedrich Gmelin, familyName, Gmelin]
-
A.
Beilstein
Beilstein is a small historic town in western Germany, known for its medieval architecture and picturesque setting in the Lahn region.
-
B.
Hittorff
Hittorff is the surname of Jacques Ignace Hittorff, a prominent 19th-century German-born French architect known for his work on Parisian urban design and monuments.
-
C.
Schieffelin
Schieffelin is a surname most prominently associated with a notable American family involved in business, philanthropy, and public service.
-
D.
Zinin
Zinin is a Russian surname most notably associated with chemist Nikolai Zinin, a pioneer in organic chemistry.
-
E.
Goldschmidt
Goldschmidt is a common Ashkenazi Jewish surname of German origin, historically associated with the goldsmith trade.
- 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: Gmelin Triple: [Johann Friedrich Gmelin, familyName, Gmelin]
Generated description
Gmelin is a German surname historically associated with several notable scientists, including chemists, botanists, and naturalists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gmelin Target entity description: Gmelin is a German surname historically associated with several notable scientists, including chemists, botanists, and naturalists.
-
A.
Beilstein
Beilstein is a small historic town in western Germany, known for its medieval architecture and picturesque setting in the Lahn region.
-
B.
Hittorff
Hittorff is the surname of Jacques Ignace Hittorff, a prominent 19th-century German-born French architect known for his work on Parisian urban design and monuments.
-
C.
Schieffelin
Schieffelin is a surname most prominently associated with a notable American family involved in business, philanthropy, and public service.
-
D.
Zinin
Zinin is a Russian surname most notably associated with chemist Nikolai Zinin, a pioneer in organic chemistry.
-
E.
Goldschmidt
Goldschmidt is a common Ashkenazi Jewish surname of German origin, historically associated with the goldsmith trade.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a7383cc819084eab19799209d2e |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bdaf91c8190b31c5e539bdf049f |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb5f20eb3c81909e059d5a02263aa2 |
completed | March 31, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76aede388190a56e066c3302c35e |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5:04 p.m.