Triple
T12846295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Effner |
E307183
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Effner
Effner is a German surname most notably associated with Joseph Effner, an 18th-century architect of the Bavarian court.
|
E1007045
|
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: Effner | Statement: [Joseph Effner, familyName, Effner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Effner Context triple: [Joseph Effner, familyName, Effner]
-
A.
Frewer
Frewer is a surname most notably associated with Canadian-American actor Matt Frewer, known for portraying the character Max Headroom.
-
B.
Fauset
Fauset is a surname most notably associated with Jessie Redmon Fauset, an influential African American editor, poet, and novelist of the Harlem Renaissance.
-
C.
Finklea
Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
-
D.
Furthman
Furthman is a surname most notably associated with American screenwriter Jules Furthman, known for his work on classic Hollywood films.
-
E.
Erkner
Erkner is a small town in the state of Brandenburg, Germany, situated just southeast of Berlin and known as a residential and commuter hub in the Berlin metropolitan area.
- 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: Effner Triple: [Joseph Effner, familyName, Effner]
Generated description
Effner is a German surname most notably associated with Joseph Effner, an 18th-century architect of the Bavarian court.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Effner Target entity description: Effner is a German surname most notably associated with Joseph Effner, an 18th-century architect of the Bavarian court.
-
A.
Frewer
Frewer is a surname most notably associated with Canadian-American actor Matt Frewer, known for portraying the character Max Headroom.
-
B.
Fauset
Fauset is a surname most notably associated with Jessie Redmon Fauset, an influential African American editor, poet, and novelist of the Harlem Renaissance.
-
C.
Finklea
Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
-
D.
Furthman
Furthman is a surname most notably associated with American screenwriter Jules Furthman, known for his work on classic Hollywood films.
-
E.
Erkner
Erkner is a small town in the state of Brandenburg, Germany, situated just southeast of Berlin and known as a residential and commuter hub in the Berlin metropolitan area.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff49efc8190bd6bbac510cc4705 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69ba1ef2481909bcf68a698afd3c6 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69dad1f9c8190b48c40f49dbd396d |
completed | May 3, 2026, 12:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69e5fd19c819082f9fe0d26c56c9a |
completed | May 3, 2026, 1:01 a.m. |
Created at: April 9, 2026, 5:36 p.m.