Triple
T6820237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha Mengele |
E156878
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mengele |
E156878
|
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: Mengele | Statement: [Martha Mengele, familyName, Mengele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mengele Context triple: [Martha Mengele, familyName, Mengele]
-
A.
Josef Mengele
Josef Mengele was a Nazi SS physician infamous for conducting brutal and deadly medical experiments on prisoners at Auschwitz during the Holocaust.
-
B.
Karl Mengele
Karl Mengele was a German industrialist and businessman, best known as the father of Nazi physician and war criminal Josef Mengele.
-
C.
Rolf Mengele
Rolf Mengele was the only son of Nazi doctor Josef Mengele, known for later becoming a lawyer and publicly confronting his father's legacy.
-
D.
Martha Mengele
chosen
Martha Mengele was the wife of Nazi physician Josef Mengele, known for his atrocities at Auschwitz during World War II.
-
E.
Odilo
Odilo was an influential 10th–11th century Benedictine monk and fifth abbot of Cluny, known for his role in monastic reform and for promoting the commemoration of All Souls’ Day.
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d359176c8190a34664ba2fcf7ee2 |
completed | March 27, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75832278c8190b27ee9931f94a15e |
completed | March 28, 2026, 4:25 a.m. |
Created at: March 27, 2026, 2:17 p.m.