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.