Triple
T1347843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Weber |
E28813
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Weber
Weber is a common German surname borne by numerous notable individuals across fields such as sociology, music, and politics.
|
E154323
|
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: Weber | Statement: [Max Weber, familyName, Weber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weber Context triple: [Max Weber, familyName, Weber]
-
A.
Sauer
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
-
B.
Sieber
Sieber is a small river in the German state of Lower Saxony that flows through the Harz Mountains and into the Oder.
-
C.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
D.
Dombrowski
Dombrowski is a surname most prominently associated with Dave Dombrowski, a longtime Major League Baseball executive known for leading multiple franchises to pennants and World Series titles.
-
E.
Beuel
Beuel is a district on the right bank of the Rhine in the German city of Bonn, known for its residential areas and local carnival traditions.
- 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: Weber Triple: [Max Weber, familyName, Weber]
Generated description
Weber is a common German surname borne by numerous notable individuals across fields such as sociology, music, and politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weber Target entity description: Weber is a common German surname borne by numerous notable individuals across fields such as sociology, music, and politics.
-
A.
Sauer
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
-
B.
Sieber
Sieber is a small river in the German state of Lower Saxony that flows through the Harz Mountains and into the Oder.
-
C.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
D.
Dombrowski
Dombrowski is a surname most prominently associated with Dave Dombrowski, a longtime Major League Baseball executive known for leading multiple franchises to pennants and World Series titles.
-
E.
Beuel
Beuel is a district on the right bank of the Rhine in the German city of Bonn, known for its residential areas and local carnival traditions.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2418e38819094683d6e1efc6e56 |
completed | March 1, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc639201c81908ed9c9ac37cd358f |
completed | March 8, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69acc71a3e808190aecbb57a64f39b6b |
completed | March 8, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc88e4ec08190945b366524b83088 |
completed | March 8, 2026, 12:53 a.m. |
Created at: March 1, 2026, 7:56 p.m.