Triple
T2763661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gudrun Himmler |
E61280
|
entity |
| Predicate | viewOnHeinrichHimmler |
P42997
|
FINISHED |
| Object | publicly defended her father |
—
|
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: publicly defended her father | Statement: [Gudrun Himmler, viewOnHeinrichHimmler, publicly defended her father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnHeinrichHimmler Context triple: [Gudrun Himmler, viewOnHeinrichHimmler, publicly defended her father]
-
A.
viewOnStalin
Indicates the stance, opinion, or perspective that one entity holds regarding Stalin.
-
B.
numberOfGermanVictims
Indicates the quantity of victims who are identified as German in the context of the described event or situation.
-
C.
legalStatusInNaziView
Indicates the legal classification or standing an entity was assigned under Nazi ideology and law.
-
D.
commanderOfPerpetrators
Indicates that one entity holds command authority over the individuals who carried out a particular act or offense.
-
E.
viewsHellAs
Indicates that one entity regards or conceptualizes hell in a particular way or from a particular perspective.
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddcc348081908b5f760899389d4f |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 9:57 p.m.