Triple
T21461988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | death of Reinhard Heydrich |
E529493
|
entity |
| Predicate | victimRoleAtTime |
P64161
|
FINISHED |
| Object | chief architect of the Final Solution |
—
|
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: chief architect of the Final Solution | Statement: [death of Reinhard Heydrich, victimRoleAtTime, chief architect of the Final Solution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victimRoleAtTime Context triple: [death of Reinhard Heydrich, victimRoleAtTime, chief architect of the Final Solution]
-
A.
victimRole
chosen
Indicates that one entity participates in an event or situation specifically in the role of the victim or harmed party.
-
B.
victimParticipation
Indicates that the victim took part in, contributed to, or was otherwise involved in the event or action described.
-
C.
victimState
Indicates the condition or status that a victim is in as a result of an event, action, or harmful incident.
-
D.
victimCharacter
Indicates that one entity is the victim or target of harm, wrongdoing, or an adverse action carried out by another entity.
-
E.
victimTermStart
Indicates the point in time or position at which a victim-related term or condition begins to apply within a specified context.
- F. None of above.
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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9ef0c0881908554977df00604a6 |
completed | April 23, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:09 p.m.