Triple
T613159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances |
E12143
|
entity |
| Predicate | cognateWith |
P2525
|
FINISHED |
| Object |
Franziska
Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
|
E83113
|
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: Franziska | Statement: [Frances, cognateWith, Franziska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franziska Context triple: [Frances, cognateWith, Franziska]
-
A.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
B.
Bettina
Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
-
C.
Dorothee
Dorothee is a feminine given name, commonly used in German- and French-speaking countries, that is a variant of the name Dorothea.
-
D.
Fanny Koch
Fanny Koch was the mother of Elsa Einstein, making her the maternal grandmother of physicist Albert Einstein.
-
E.
Heike Makatsch
Heike Makatsch is a German actress and former television presenter known internationally for her roles in films such as "Love Actually" and "Resident Evil."
- 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: Franziska Triple: [Frances, cognateWith, Franziska]
Generated description
Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Franziska Target entity description: Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
-
A.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
B.
Bettina
Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
-
C.
Dorothee
Dorothee is a feminine given name, commonly used in German- and French-speaking countries, that is a variant of the name Dorothea.
-
D.
Fanny Koch
Fanny Koch was the mother of Elsa Einstein, making her the maternal grandmother of physicist Albert Einstein.
-
E.
Heike Makatsch
Heike Makatsch is a German actress and former television presenter known internationally for her roles in films such as "Love Actually" and "Resident Evil."
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e08dbf88190ab050078a63e266b |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c38d2ee88190b577ca56b84e851e |
completed | March 2, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69a5c51ae0cc8190b522436337980624 |
completed | March 2, 2026, 5:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5ce579ca8819084a1eae104e7058b |
completed | March 2, 2026, 5:52 p.m. |
Created at: March 1, 2026, 7:35 p.m.