Triple
T7635009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuchs |
E172853
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Barbara Fuchs
Barbara Fuchs is a literary scholar known for her work on early modern Spanish and English literature, translation, and cultural exchange.
|
E680687
|
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: Barbara Fuchs | Statement: [Fuchs, hasNotableBearer, Barbara Fuchs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Fuchs Context triple: [Fuchs, hasNotableBearer, Barbara Fuchs]
-
A.
Barbara Blomberg
Barbara Blomberg was a 16th-century German woman best known as the mistress of Holy Roman Emperor Charles V and the mother of his illegitimate son, John of Austria (the Elder).
-
B.
Barbara Marx
Barbara Marx was an American model and socialite best known as the fourth and final wife of singer Frank Sinatra.
-
C.
Barbara Rütting
Barbara Rütting was a German actress and later author and politician, known for her roles in postwar European cinema and her environmental and animal rights activism.
-
D.
Beverley Schäfer
Beverley Schäfer is a South African politician who serves as the Deputy Speaker of the Western Cape Provincial Parliament.
-
E.
Barbara Henning
Barbara Henning is a fictional character portrayed by actress Robin McLeavy.
- 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: Barbara Fuchs Triple: [Fuchs, hasNotableBearer, Barbara Fuchs]
Generated description
Barbara Fuchs is a literary scholar known for her work on early modern Spanish and English literature, translation, and cultural exchange.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barbara Fuchs Target entity description: Barbara Fuchs is a literary scholar known for her work on early modern Spanish and English literature, translation, and cultural exchange.
-
A.
Barbara Blomberg
Barbara Blomberg was a 16th-century German woman best known as the mistress of Holy Roman Emperor Charles V and the mother of his illegitimate son, John of Austria (the Elder).
-
B.
Barbara Marx
Barbara Marx was an American model and socialite best known as the fourth and final wife of singer Frank Sinatra.
-
C.
Barbara Rütting
Barbara Rütting was a German actress and later author and politician, known for her roles in postwar European cinema and her environmental and animal rights activism.
-
D.
Beverley Schäfer
Beverley Schäfer is a South African politician who serves as the Deputy Speaker of the Western Cape Provincial Parliament.
-
E.
Barbara Henning
Barbara Henning is a fictional character portrayed by actress Robin McLeavy.
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa83fcc8190a3f0bb20cbe1b2d6 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a2159cd0819085bfdb8c7694077b |
completed | March 29, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_69c8a2d073b08190a056e23cfdf13983 |
completed | March 29, 2026, 3:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a37fabe481908c7da8a5d71a3f1c |
completed | March 29, 2026, 3:58 a.m. |
Created at: March 27, 2026, 3:57 p.m.