Triple
T6824360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilhelm Wundt |
E156976
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Sophie Mau |
E156976
|
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: Sophie Mau | Statement: [Wilhelm Wundt, spouse, Sophie Mau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie Mau Context triple: [Wilhelm Wundt, spouse, Sophie Mau]
-
A.
Sophie Mau
chosen
Sophie Mau was the wife of pioneering German psychologist and physiologist Wilhelm Wundt, known primarily through her association with his life and work.
-
B.
Sophie Mol
Sophie Mol is a pivotal child character in Arundhati Roy’s novel "The God of Small Things," whose tragic fate profoundly shapes the story’s emotional and political landscape.
-
C.
Sophie Muller
Sophie Muller is a renowned British music video director celebrated for her visually distinctive work with major artists across pop and rock music.
-
D.
Sophie Labbé
Sophie Labbé is a renowned French perfumer known for creating numerous successful fragrances for major international luxury brands.
-
E.
Sophie Vavasseur
Sophie Vavasseur is an Irish actress best known for her role in the film "Evelyn" and appearances in various horror and drama productions.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d580ca448190aa6d52908ca50e39 |
completed | March 27, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723ee0e94819095a678e1073869d5 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:18 p.m.