Triple
T1427902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Friedrich Gauss |
E30375
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Minna Waldeck |
E30375
|
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: Minna Waldeck | Statement: [Carl Friedrich Gauss, spouse, Minna Waldeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minna Waldeck Context triple: [Carl Friedrich Gauss, spouse, Minna Waldeck]
-
A.
Minna Waldeck
chosen
Minna Waldeck was the wife of renowned German mathematician and scientist Carl Friedrich Gauss.
-
B.
Waldeck
Waldeck was a small German principality whose soldiers, like the Hessian troops, were hired out as auxiliaries to foreign powers in the 18th century.
-
C.
Frieda Knecht
Frieda Knecht was the wife of Hans Albert Einstein, the second son of physicist Albert Einstein.
-
D.
Jacques Ignace Hittorff
Jacques Ignace Hittorff was a 19th-century German-born French architect and urban planner known for his major contributions to Parisian architecture and city design, including prominent public buildings and squares.
-
E.
Marie Souvestre
Marie Souvestre was a progressive 19th-century French educator best known for mentoring Eleanor Roosevelt and promoting independent thinking and internationalism among young women.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4bfc79481908d370ec839ddbd9f |
completed | March 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad016708bc8190af01b10a0f0d6942 |
completed | March 8, 2026, 4:56 a.m. |
Created at: March 1, 2026, 8 p.m.