Triple
T18289561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augusta Wilhelmena Fredericka Appel |
E438073
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Fredericka
Fredericka is a feminine given name, here used as part of the full name Augusta Wilhelmena Fredericka Appel.
|
E1316695
|
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: Fredericka | Statement: [Augusta Wilhelmena Fredericka Appel, givenName, Fredericka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fredericka Context triple: [Augusta Wilhelmena Fredericka Appel, givenName, Fredericka]
-
A.
Ricarda
Ricarda is a feminine given name, primarily used in German- and Spanish-speaking countries, derived from the male name Richard.
-
B.
Gisela
Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
-
C.
Gisela
Gisela was a daughter of the West Frankish king and Holy Roman Emperor Charles the Bald, belonging to the Carolingian royal dynasty of the 9th century.
-
D.
Franziska
Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
-
E.
Maria Francesca
Maria Francesca of Savoy was an 18th-century Italian princess of the House of Savoy who became Landgravine of Hesse-Rotenburg through marriage.
- 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: Fredericka Triple: [Augusta Wilhelmena Fredericka Appel, givenName, Fredericka]
Generated description
Fredericka is a feminine given name, here used as part of the full name Augusta Wilhelmena Fredericka Appel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fredericka Target entity description: Fredericka is a feminine given name, here used as part of the full name Augusta Wilhelmena Fredericka Appel.
-
A.
Ricarda
Ricarda is a feminine given name, primarily used in German- and Spanish-speaking countries, derived from the male name Richard.
-
B.
Gisela
Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
-
C.
Gisela
Gisela was a daughter of the West Frankish king and Holy Roman Emperor Charles the Bald, belonging to the Carolingian royal dynasty of the 9th century.
-
D.
Franziska
Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
-
E.
Maria Francesca
Maria Francesca of Savoy was an 18th-century Italian princess of the House of Savoy who became Landgravine of Hesse-Rotenburg through marriage.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fd65888190afdbb29dc60066af |
completed | April 19, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb5612448190a72548b7dd7c3dc7 |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bbfa0da481908bb0e388dcbe9913 |
completed | May 12, 2026, 11:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03bd6078b88190887a32099fc31db0 |
completed | May 12, 2026, 11:53 p.m. |
Created at: April 10, 2026, 10:35 a.m.