Triple
T2588348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Dryden Kuser |
E58056
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Vera Kuser
Vera Kuser was an American socialite known primarily for her marriage to New Jersey politician and businessman John Dryden Kuser.
|
E278595
|
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: Vera Kuser | Statement: [John Dryden Kuser, spouse, Vera Kuser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vera Kuser Context triple: [John Dryden Kuser, spouse, Vera Kuser]
-
A.
Ines Knauss
Ines Knauss is an Austrian-born artist best known as the sister of former U.S. First Lady Melania Trump.
-
B.
Klara Pölzl
Klara Pölzl was the mother of Adolf Hitler, remembered primarily for her role in his early life and family background in late 19th-century Austria.
-
C.
Gunta Stölzl
Gunta Stölzl was a pioneering German textile artist and designer who led the weaving workshop at the Bauhaus and helped establish modern textile design.
-
D.
Luisa Neubauer
Luisa Neubauer is a prominent German climate activist and leading organizer of the Fridays for Future movement in Germany.
-
E.
Rosa Stradner
Rosa Stradner was an Austrian-born actress who appeared in European and Hollywood films in the 1930s and 1940s.
- 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: Vera Kuser Triple: [John Dryden Kuser, spouse, Vera Kuser]
Generated description
Vera Kuser was an American socialite known primarily for her marriage to New Jersey politician and businessman John Dryden Kuser.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vera Kuser Target entity description: Vera Kuser was an American socialite known primarily for her marriage to New Jersey politician and businessman John Dryden Kuser.
-
A.
Ines Knauss
Ines Knauss is an Austrian-born artist best known as the sister of former U.S. First Lady Melania Trump.
-
B.
Klara Pölzl
Klara Pölzl was the mother of Adolf Hitler, remembered primarily for her role in his early life and family background in late 19th-century Austria.
-
C.
Gunta Stölzl
Gunta Stölzl was a pioneering German textile artist and designer who led the weaving workshop at the Bauhaus and helped establish modern textile design.
-
D.
Luisa Neubauer
Luisa Neubauer is a prominent German climate activist and leading organizer of the Fridays for Future movement in Germany.
-
E.
Rosa Stradner
Rosa Stradner was an Austrian-born actress who appeared in European and Hollywood films in the 1930s and 1940s.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd3fd1d608190a0cf0d12a9e6ce59 |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af658782f88190a83a4f7256d6a7b2 |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af660bc6cc8190a98dca9632d5635d |
completed | March 10, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af667f0458819091d88011f49dc1ae |
completed | March 10, 2026, 12:31 a.m. |
Created at: March 6, 2026, 9:49 p.m.