Triple
T11450546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothea Schlegel |
E271381
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Florentin
Florentin is a late 18th-century German novel by Dorothea Schlegel that explores themes of identity, society, and romanticism within the early German Romantic movement.
|
E926589
|
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: Florentin | Statement: [Dorothea Schlegel, notableWork, Florentin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florentin Context triple: [Dorothea Schlegel, notableWork, Florentin]
-
A.
Florian
Florian is a masculine given name of Latin origin, commonly used in German-speaking and other European countries.
-
B.
Laurenti
Laurenti is a surname of Italian origin associated with figures such as the 18th-century naturalist Josephus Nicolaus Laurenti.
-
C.
Fabrizio
Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
-
D.
Filipp
Filipp is a masculine given name of Greek origin, commonly used in Slavic countries and derived from a word meaning "lover of horses."
-
E.
Valentim
Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
- 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: Florentin Triple: [Dorothea Schlegel, notableWork, Florentin]
Generated description
Florentin is a late 18th-century German novel by Dorothea Schlegel that explores themes of identity, society, and romanticism within the early German Romantic movement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Florentin Target entity description: Florentin is a late 18th-century German novel by Dorothea Schlegel that explores themes of identity, society, and romanticism within the early German Romantic movement.
-
A.
Florian
Florian is a masculine given name of Latin origin, commonly used in German-speaking and other European countries.
-
B.
Laurenti
Laurenti is a surname of Italian origin associated with figures such as the 18th-century naturalist Josephus Nicolaus Laurenti.
-
C.
Fabrizio
Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
-
D.
Filipp
Filipp is a masculine given name of Greek origin, commonly used in Slavic countries and derived from a word meaning "lover of horses."
-
E.
Valentim
Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c6e496c8190b0a1919c29d4ee60 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3cb63408190a96b97f716d46082 |
completed | April 20, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69e5d7e46e248190aba139dc32185e2f |
completed | April 20, 2026, 7:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5e192297c8190992578f734e63427 |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 8, 2026, 9:35 p.m.