Triple

T9194370
Position Surface form Disambiguated ID Type / Status
Subject S. Fischer Verlag E220665 entity
Predicate hasNotableSeries P3199 FINISHED
Object Fischer Klassik series
The Fischer Klassik series is a collection of classic literary works published by the German publishing house S. Fischer Verlag.
E783283 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: Fischer Klassik series | Statement: [S. Fischer Verlag, hasNotableSeries, Fischer Klassik series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fischer Klassik series
Context triple: [S. Fischer Verlag, hasNotableSeries, Fischer Klassik series]
  • A. Fischer
    Fischer is a common German surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
  • B. Fischer
    Fischer is a French beer brand known for its traditional Alsatian brewing heritage and distinctive lagers.
  • C. Schoenfeld
    Schoenfeld is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
  • D. Schäffer
    Schäffer is a German surname associated with various notable figures in politics, academia, and the arts.
  • E. Fritz
    Fritz is the hunchbacked assistant to Dr. Frankenstein in the 1931 horror film "Frankenstein," known for helping to procure the monster’s body parts and brain.
  • 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: Fischer Klassik series
Triple: [S. Fischer Verlag, hasNotableSeries, Fischer Klassik series]
Generated description
The Fischer Klassik series is a collection of classic literary works published by the German publishing house S. Fischer Verlag.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fischer Klassik series
Target entity description: The Fischer Klassik series is a collection of classic literary works published by the German publishing house S. Fischer Verlag.
  • A. Fischer
    Fischer is a common German surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
  • B. Fischer
    Fischer is a French beer brand known for its traditional Alsatian brewing heritage and distinctive lagers.
  • C. Schoenfeld
    Schoenfeld is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
  • D. Schäffer
    Schäffer is a German surname associated with various notable figures in politics, academia, and the arts.
  • E. Fritz
    Fritz is the hunchbacked assistant to Dr. Frankenstein in the 1931 horror film "Frankenstein," known for helping to procure the monster’s body parts and brain.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c3614c81909e26417e00fdfa11 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c313004819090fe0e5d4e7bc15e completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05d138c288190a0eab9be6bd649c0 completed April 4, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69d05df1a0888190a2bdc48a159b865e completed April 4, 2026, 12:40 a.m.
Created at: March 30, 2026, 7:25 p.m.