Triple
T22981266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O. E. Hasse |
E571470
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hasse
Hasse is a German surname borne by various notable individuals, including actors, mathematicians, and composers.
|
E1565752
|
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: Hasse | Statement: [O. E. Hasse, familyName, Hasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hasse Context triple: [O. E. Hasse, familyName, Hasse]
-
A.
Hensel
Hensel is a German surname most notably associated with mathematician Kurt Hensel, known for introducing p-adic numbers.
-
B.
Hasse & Tage
Hasse & Tage was a legendary Swedish comedy duo, consisting of Hans Alfredson and Tage Danielsson, known for their influential satirical films, revues, and radio shows from the 1960s onward.
-
C.
Neukirch
Neukirch is a German surname most notably borne by the influential mathematician Jürgen Neukirch, known for his work in algebraic number theory.
-
D.
Neukirch
Neukirch is a small town in the Bautzen district of Saxony in eastern Germany, known for its rural setting and traditional Upper Lusatian character.
-
E.
Hurwitz
Hurwitz is a surname of German and Ashkenazi Jewish origin borne by various notable individuals across fields such as mathematics, music, and law.
- 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: Hasse Triple: [O. E. Hasse, familyName, Hasse]
Generated description
Hasse is a German surname borne by various notable individuals, including actors, mathematicians, and composers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hasse Target entity description: Hasse is a German surname borne by various notable individuals, including actors, mathematicians, and composers.
-
A.
Hensel
Hensel is a German surname most notably associated with mathematician Kurt Hensel, known for introducing p-adic numbers.
-
B.
Hasse & Tage
Hasse & Tage was a legendary Swedish comedy duo, consisting of Hans Alfredson and Tage Danielsson, known for their influential satirical films, revues, and radio shows from the 1960s onward.
-
C.
Neukirch
Neukirch is a German surname most notably borne by the influential mathematician Jürgen Neukirch, known for his work in algebraic number theory.
-
D.
Neukirch
Neukirch is a small town in the Bautzen district of Saxony in eastern Germany, known for its rural setting and traditional Upper Lusatian character.
-
E.
Hurwitz
Hurwitz is a surname of German and Ashkenazi Jewish origin borne by various notable individuals across fields such as mathematics, music, and law.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829589548190863619aebcae026c |
completed | April 29, 2026, 4:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bd3730f9c8190afd3c61b7915025c |
completed | May 19, 2026, 3:05 a.m. |
| NEDg | Description generation | batch_6a0bd9ca66708190aebc81802de3f989 |
completed | May 19, 2026, 3:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bda93cce481908b4dad0b481a3b58 |
completed | May 19, 2026, 3:35 a.m. |
Created at: April 17, 2026, 3:49 p.m.