Triple
T14694744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerda Wegener |
E345124
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wegener |
E105929
|
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: Wegener | Statement: [Gerda Wegener, familyName, Wegener]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wegener Context triple: [Gerda Wegener, familyName, Wegener]
-
A.
Löfgren
Löfgren is a Swedish surname associated with several notable individuals in fields such as music, science, and politics.
-
B.
Henoch Raberaba
Henoch Raberaba was an Indigenous Australian artist recognized for his contributions to the Hermannsburg watercolour painting tradition.
-
C.
Behçet
Behçet is a Turkish surname most notably associated with dermatologist Hulusi Behçet, after whom Behçet's disease is named.
-
D.
Buerger
Buerger is a surname most notably associated with Martin Julian Buerger, an influential American crystallographer and mineralogist.
-
E.
Wegener's granulomatosis
chosen
Wegener's granulomatosis, now more commonly called granulomatosis with polyangiitis, is a rare autoimmune disease characterized by inflammation of blood vessels that can damage organs such as the lungs, kidneys, and upper respiratory tract.
- 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.