Triple
T10281922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanna Schygulla |
E241119
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Effi Briest
Effi Briest is a classic 1895 realist novel by Theodor Fontane that portrays the tragic fate of a young woman trapped in a restrictive Prussian society.
|
E852485
|
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: Effi Briest | Statement: [Hanna Schygulla, notableWork, Effi Briest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Effi Briest Context triple: [Hanna Schygulla, notableWork, Effi Briest]
-
A.
Ottilie von Pogwisch
Ottilie von Pogwisch was a German noblewoman best known as the wife of August von Goethe and daughter-in-law of the writer Johann Wolfgang von Goethe.
-
B.
Elisabeth Buddenbrook
Elisabeth Buddenbrook is a character in Thomas Mann's novel "Buddenbrooks," depicted as the matriarch of the Buddenbrook family and mother of Tony Buddenbrook.
-
C.
Ottilie Einhorn
Ottilie Einhorn is known as one of the children of American hedge fund manager and Greenlight Capital founder David Einhorn.
-
D.
Verena
Verena is a feminine given name of Latin origin, commonly used in German-speaking and other European countries.
-
E.
Elfriede
Elfriede is a feminine given name of German origin, notably borne by Austrian Nobel Prize–winning writer Elfriede Jelinek.
- 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: Effi Briest Triple: [Hanna Schygulla, notableWork, Effi Briest]
Generated description
Effi Briest is a classic 1895 realist novel by Theodor Fontane that portrays the tragic fate of a young woman trapped in a restrictive Prussian society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Effi Briest Target entity description: Effi Briest is a classic 1895 realist novel by Theodor Fontane that portrays the tragic fate of a young woman trapped in a restrictive Prussian society.
-
A.
Ottilie von Pogwisch
Ottilie von Pogwisch was a German noblewoman best known as the wife of August von Goethe and daughter-in-law of the writer Johann Wolfgang von Goethe.
-
B.
Elisabeth Buddenbrook
Elisabeth Buddenbrook is a character in Thomas Mann's novel "Buddenbrooks," depicted as the matriarch of the Buddenbrook family and mother of Tony Buddenbrook.
-
C.
Ottilie Einhorn
Ottilie Einhorn is known as one of the children of American hedge fund manager and Greenlight Capital founder David Einhorn.
-
D.
Verena
Verena is a feminine given name of Latin origin, commonly used in German-speaking and other European countries.
-
E.
Elfriede
Elfriede is a feminine given name of German origin, notably borne by Austrian Nobel Prize–winning writer Elfriede Jelinek.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2a177b48190aab7d7857f5bba7b |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f8352a108190b3692a2de3cb4dea |
completed | April 9, 2026, 12:52 a.m. |
| NEDg | Description generation | batch_69d6fcae243c819095a2e791716805bd |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd3495fc8190a093d2536cfbe58a |
completed | April 9, 2026, 1:13 a.m. |
Created at: April 6, 2026, 11:39 a.m.