Triple
T1756684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernhard |
E38564
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Bernhardt
Bernhardt is a German-origin surname and given name, most famously associated with the legendary French stage actress Sarah Bernhardt.
|
E196223
|
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: Bernhardt | Statement: [Bernhard, hasVariant, Bernhardt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernhardt Context triple: [Bernhard, hasVariant, Bernhardt]
-
A.
Brigitte
Brigitte is a French former teacher best known as the wife of Emmanuel Macron, the President of France.
-
B.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
-
C.
Albertina
Albertina was the historic University of Königsberg, a prominent Prussian center of learning and research founded in the 16th century.
-
D.
Dorothee
Dorothee is a feminine given name, commonly used in German- and French-speaking countries, that is a variant of the name Dorothea.
-
E.
Eugenie Besserer
Eugenie Besserer was a Canadian-born American actress best known for her role as the protagonist’s mother in the landmark early sound film "The Jazz Singer" (1927).
- 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: Bernhardt Triple: [Bernhard, hasVariant, Bernhardt]
Generated description
Bernhardt is a German-origin surname and given name, most famously associated with the legendary French stage actress Sarah Bernhardt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bernhardt Target entity description: Bernhardt is a German-origin surname and given name, most famously associated with the legendary French stage actress Sarah Bernhardt.
-
A.
Brigitte
Brigitte is a French former teacher best known as the wife of Emmanuel Macron, the President of France.
-
B.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
-
C.
Albertina
Albertina was the historic University of Königsberg, a prominent Prussian center of learning and research founded in the 16th century.
-
D.
Dorothee
Dorothee is a feminine given name, commonly used in German- and French-speaking countries, that is a variant of the name Dorothea.
-
E.
Eugenie Besserer
Eugenie Besserer was a Canadian-born American actress best known for her role as the protagonist’s mother in the landmark early sound film "The Jazz Singer" (1927).
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa643ce88481909d2feef3c5fd849f |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0ea4cc08190b47d81a54c294a9a |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada1a401548190af00bae3b89e46b0 |
completed | March 8, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada26804288190838a93b71b494650 |
completed | March 8, 2026, 4:23 p.m. |
Created at: March 4, 2026, 7:31 p.m.