Triple
T5187751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilm Hosenfeld |
E117073
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hosenfeld
Hosenfeld is a German surname most notably associated with Wilm Hosenfeld, a Wehrmacht officer known for helping to save Jews during World War II.
|
E502087
|
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: Hosenfeld | Statement: [Wilm Hosenfeld, familyName, Hosenfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hosenfeld Context triple: [Wilm Hosenfeld, familyName, Hosenfeld]
-
A.
Heurich
Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
-
B.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
C.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
D.
Schatzberg
Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
-
E.
Heissler
Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
- 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: Hosenfeld Triple: [Wilm Hosenfeld, familyName, Hosenfeld]
Generated description
Hosenfeld is a German surname most notably associated with Wilm Hosenfeld, a Wehrmacht officer known for helping to save Jews during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hosenfeld Target entity description: Hosenfeld is a German surname most notably associated with Wilm Hosenfeld, a Wehrmacht officer known for helping to save Jews during World War II.
-
A.
Heurich
Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
-
B.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
C.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
D.
Schatzberg
Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
-
E.
Heissler
Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c56280819085926316f7b520bc |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee08af954819080dbe7ea1ac6ddb0 |
completed | March 21, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69bee5fc0c408190b4ad4b77e0045182 |
completed | March 21, 2026, 6:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee6b954c08190a353ebcfe829888a |
completed | March 21, 2026, 6:43 p.m. |
Created at: March 20, 2026, 1:46 p.m.