Triple
T21384808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedrich Foertsch |
E527464
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Foertsch
Foertsch is a German surname most notably associated with Friedrich Foertsch, a high-ranking military officer in 20th-century Germany.
|
E1481407
|
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: Foertsch | Statement: [Friedrich Foertsch, familyName, Foertsch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foertsch Context triple: [Friedrich Foertsch, familyName, Foertsch]
-
A.
Foer
Foer is the surname of a family of American writers and intellectuals, including novelist Jonathan Safran Foer and his journalist brothers.
-
B.
Foetz
Foetz is a small town in southwestern Luxembourg, known for its commercial and industrial areas within the commune of Mondercange.
-
C.
Fuest
Fuest is a surname most notably associated with British film and television director Robert Fuest, known for his work in horror and fantasy cinema.
-
D.
Fröhnd
Fröhnd is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany.
-
E.
Fügen
Fügen is a popular Tyrolean village in western Austria known as a gateway to the Zillertal valley and its ski and alpine tourism.
- 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: Foertsch Triple: [Friedrich Foertsch, familyName, Foertsch]
Generated description
Foertsch is a German surname most notably associated with Friedrich Foertsch, a high-ranking military officer in 20th-century Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Foertsch Target entity description: Foertsch is a German surname most notably associated with Friedrich Foertsch, a high-ranking military officer in 20th-century Germany.
-
A.
Foer
Foer is the surname of a family of American writers and intellectuals, including novelist Jonathan Safran Foer and his journalist brothers.
-
B.
Foetz
Foetz is a small town in southwestern Luxembourg, known for its commercial and industrial areas within the commune of Mondercange.
-
C.
Fuest
Fuest is a surname most notably associated with British film and television director Robert Fuest, known for his work in horror and fantasy cinema.
-
D.
Fröhnd
Fröhnd is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany.
-
E.
Fügen
Fügen is a popular Tyrolean village in western Austria known as a gateway to the Zillertal valley and its ski and alpine tourism.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f211c08190b3a129eaa725422e |
completed | April 22, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09b42852288190b2d92faee197aba6 |
completed | May 17, 2026, 12:27 p.m. |
| NEDg | Description generation | batch_6a09b5e6d1ac8190aeec88859d17d257 |
completed | May 17, 2026, 12:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09b699fef081909797a5fc50814cb9 |
completed | May 17, 2026, 12:37 p.m. |
Created at: April 16, 2026, 5:12 p.m.