Triple
T9194339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S. Fischer Verlag |
E220665
|
entity |
| Predicate | hasImprint |
P2763
|
FINISHED |
| Object |
Fischer FJB
Fischer FJB is a German publishing imprint of S. Fischer Verlag, primarily focused on books for children and young adults.
|
E783280
|
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 FJB | Statement: [S. Fischer Verlag, hasImprint, Fischer FJB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fischer FJB Context triple: [S. Fischer Verlag, hasImprint, Fischer FJB]
-
A.
Fieseler
Fieseler was a German aircraft manufacturer best known for producing innovative World War II aircraft, including the V-1 flying bomb.
-
B.
Fischer
Fischer is a French beer brand known for its traditional Alsatian brewing heritage and distinctive lagers.
-
C.
Fischer
Fischer is a common German surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
-
D.
Swift F.1
The Swift F.1 was an early production variant of the British Supermarine Swift jet fighter, used briefly by the Royal Air Force in the 1950s.
-
E.
Spragga Benz
Spragga Benz is a prominent Jamaican dancehall deejay known for his influential 1990s hits and collaborations across reggae, hip hop, and international pop music.
- 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 FJB Triple: [S. Fischer Verlag, hasImprint, Fischer FJB]
Generated description
Fischer FJB is a German publishing imprint of S. Fischer Verlag, primarily focused on books for children and young adults.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fischer FJB Target entity description: Fischer FJB is a German publishing imprint of S. Fischer Verlag, primarily focused on books for children and young adults.
-
A.
Fieseler
Fieseler was a German aircraft manufacturer best known for producing innovative World War II aircraft, including the V-1 flying bomb.
-
B.
Fischer
Fischer is a French beer brand known for its traditional Alsatian brewing heritage and distinctive lagers.
-
C.
Fischer
Fischer is a common German surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
-
D.
Swift F.1
The Swift F.1 was an early production variant of the British Supermarine Swift jet fighter, used briefly by the Royal Air Force in the 1950s.
-
E.
Spragga Benz
Spragga Benz is a prominent Jamaican dancehall deejay known for his influential 1990s hits and collaborations across reggae, hip hop, and international pop music.
- 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.