Triple
T7635022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuchs |
E172853
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Elisabeth Fuchs
Elisabeth Fuchs is an Austrian conductor known for her work with orchestras and choirs, particularly in Salzburg.
|
E688314
|
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: Elisabeth Fuchs | Statement: [Fuchs, hasNotableBearer, Elisabeth Fuchs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elisabeth Fuchs Context triple: [Fuchs, hasNotableBearer, Elisabeth Fuchs]
-
A.
Barbara Fuchs
Barbara Fuchs is a literary scholar known for her work on early modern Spanish and English literature, translation, and cultural exchange.
-
B.
Elisabeth Binzenstock
Elisabeth Binzenstock was the wife of the renowned German Renaissance painter Hans Holbein the Younger.
-
C.
Ruth Fuchs
Ruth Fuchs was a German javelin thrower and two-time Olympic champion who competed for East Germany in the 1970s.
-
D.
Anna Wimschneider
Anna Wimschneider was a German farmer and autobiographical writer best known for her memoir "Herbstmilch," which depicts her impoverished rural upbringing and life in early 20th-century Bavaria.
-
E.
Luisa Neubauer
Luisa Neubauer is a prominent German climate activist and leading organizer of the Fridays for Future movement in 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: Elisabeth Fuchs Triple: [Fuchs, hasNotableBearer, Elisabeth Fuchs]
Generated description
Elisabeth Fuchs is an Austrian conductor known for her work with orchestras and choirs, particularly in Salzburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elisabeth Fuchs Target entity description: Elisabeth Fuchs is an Austrian conductor known for her work with orchestras and choirs, particularly in Salzburg.
-
A.
Barbara Fuchs
Barbara Fuchs is a literary scholar known for her work on early modern Spanish and English literature, translation, and cultural exchange.
-
B.
Elisabeth Binzenstock
Elisabeth Binzenstock was the wife of the renowned German Renaissance painter Hans Holbein the Younger.
-
C.
Ruth Fuchs
Ruth Fuchs was a German javelin thrower and two-time Olympic champion who competed for East Germany in the 1970s.
-
D.
Anna Wimschneider
Anna Wimschneider was a German farmer and autobiographical writer best known for her memoir "Herbstmilch," which depicts her impoverished rural upbringing and life in early 20th-century Bavaria.
-
E.
Luisa Neubauer
Luisa Neubauer is a prominent German climate activist and leading organizer of the Fridays for Future movement in 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_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_69c8d69adda4819087ca9eb631e0de54 |
completed | March 29, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_69c8d708fc5081909ba0b42b524734df |
completed | March 29, 2026, 7:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8d77b3b308190a1c70959600ea472 |
completed | March 29, 2026, 7:40 a.m. |
Created at: March 27, 2026, 3:57 p.m.