Triple
T3535414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Dyson |
E74758
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Verena Huber-Dyson |
E31257
|
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: Verena Huber-Dyson | Statement: [George Dyson, parent, Verena Huber-Dyson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verena Huber-Dyson Context triple: [George Dyson, parent, Verena Huber-Dyson]
-
A.
Verena Huber-Dyson
chosen
Verena Huber-Dyson was a Swiss-American mathematician known for her work in group theory and logic, and for her contributions to the philosophy of mathematics.
-
B.
Karin Huber
Karin Huber is a person notable enough to be recognized as a significant bearer of the surname Huber.
-
C.
Marianne Tromlitz
Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
-
D.
Johanna Hiedler
Johanna Hiedler was an Austrian woman of the 19th century known primarily as the maternal grandmother of Adolf Hitler.
-
E.
Irene Schönbein
Irene Schönbein was the wife of Nazi physician and Auschwitz camp doctor Josef Mengele.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbcc4c1d081908938efb71938e1a3 |
completed | March 8, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bcf7ffc81909242cf67f5aa7b3d |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:19 p.m.