Triple
T3753408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Wirth |
E81385
|
entity |
| Predicate | roleInOperationReinhard |
P51123
|
FINISHED |
| Object | inspector of extermination camps |
—
|
LITERAL 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: inspector of extermination camps | Statement: [Christian Wirth, roleInOperationReinhard, inspector of extermination camps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInOperationReinhard Context triple: [Christian Wirth, roleInOperationReinhard, inspector of extermination camps]
-
A.
roleInBerlinOperation
Indicates that one entity participated in the Berlin operation with a specific role or function in relation to another entity or the operation itself.
-
B.
roleInOperationTorch
Indicates that an entity participated in or held a specific role in Operation Torch, the Allied invasion of North Africa during World War II.
-
C.
roleInEngine
Indicates the specific function or responsibility an entity has within an engine or engine-like system.
-
D.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
E.
roleInCommandStructure
Indicates that one entity holds a specific position or function within the hierarchical command structure of another entity or organization.
- F. None of above. chosen
Provenance (4 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb9340e0819083215989718b4598 |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc1560c248190b07438d766880990 |
completed | March 8, 2026, 6:35 p.m. |
Created at: March 8, 2026, 3:35 p.m.