Triple
T14694642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lili Elbe |
E345121
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Gerda Wegener |
E345124
|
NE FINISHED |
How this triple was built (2 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: Gerda Wegener | Statement: [Lili Elbe, spouse, Gerda Wegener]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerda Wegener Context triple: [Lili Elbe, spouse, Gerda Wegener]
-
A.
Gerda Wegener
chosen
Gerda Wegener was a Danish illustrator and painter known for her Art Deco style and for her depictions of her spouse Lili Elbe, one of the first recipients of gender confirmation surgery.
-
B.
Natalie Bauer-Lechner
Natalie Bauer-Lechner was an Austrian violist and close confidante of Gustav Mahler, known for her detailed recollections of the composer and his work.
-
C.
Albertina Rasch
Albertina Rasch was an influential early 20th-century choreographer and dance director known for her work on Broadway and in Hollywood films.
-
D.
Gerda Holmberg
Gerda Holmberg was the wife of Swedish poet and Nobel laureate Erik Axel Karlfeldt.
-
E.
Ursula Maria Martius
Ursula Maria Martius, better known as Ursula Franklin, was a German-Canadian physicist, metallurgist, and pacifist renowned for her work in materials science and her influential writings on technology and society.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb586e7108190be644db9cf9a4d99 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde18e279c8190814f90e947734541 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.