Triple
T13218232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gisbert Hasenjaeger |
E314677
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hasenjaeger
Hasenjaeger is a German surname most notably associated with mathematician and logician Gisbert Hasenjaeger.
|
E1028404
|
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: Hasenjaeger | Statement: [Gisbert Hasenjaeger, familyName, Hasenjaeger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hasenjaeger Context triple: [Gisbert Hasenjaeger, familyName, Hasenjaeger]
-
A.
Sperrle
Sperrle is a German surname most notably borne by Hugo Sperrle, a senior Luftwaffe field marshal during World War II.
-
B.
Haenel
Haenel is a German firearms manufacturer best known for developing early assault rifle designs and other military small arms.
-
C.
Halder
Halder is a German surname most notably associated with Franz Halder, a high-ranking Wehrmacht general and Chief of the German Army General Staff during World War II.
-
D.
Reubell
Reubell is a French surname most notably associated with Jean-François Reubell, a prominent political figure during the French Revolution and a member of the Directory.
-
E.
Habermann
Habermann is a 2010 Czech-German war drama film directed by Juraj Herz that portrays the moral and ethnic tensions in a Sudeten village during and after World War II.
- 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: Hasenjaeger Triple: [Gisbert Hasenjaeger, familyName, Hasenjaeger]
Generated description
Hasenjaeger is a German surname most notably associated with mathematician and logician Gisbert Hasenjaeger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hasenjaeger Target entity description: Hasenjaeger is a German surname most notably associated with mathematician and logician Gisbert Hasenjaeger.
-
A.
Sperrle
Sperrle is a German surname most notably borne by Hugo Sperrle, a senior Luftwaffe field marshal during World War II.
-
B.
Haenel
Haenel is a German firearms manufacturer best known for developing early assault rifle designs and other military small arms.
-
C.
Halder
Halder is a German surname most notably associated with Franz Halder, a high-ranking Wehrmacht general and Chief of the German Army General Staff during World War II.
-
D.
Reubell
Reubell is a French surname most notably associated with Jean-François Reubell, a prominent political figure during the French Revolution and a member of the Directory.
-
E.
Habermann
Habermann is a 2010 Czech-German war drama film directed by Juraj Herz that portrays the moral and ethnic tensions in a Sudeten village during and after World War II.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf392e08190949ee4d194566395 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2085f88190be8cfc309d21f9cb |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7036009808190aea595cd542e0cf1 |
completed | May 3, 2026, 8:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7040e32a4819083a9f4efe96fd9ca |
completed | May 3, 2026, 8:15 a.m. |
Created at: April 9, 2026, 9:18 p.m.