Triple
T11323850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gitta Sereny |
E268157
|
entity |
| Predicate | notableWorkFocus |
P98503
|
FINISHED |
| Object | moral responsibility of perpetrators |
—
|
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: moral responsibility of perpetrators | Statement: [Gitta Sereny, notableWorkFocus, moral responsibility of perpetrators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableWorkFocus Context triple: [Gitta Sereny, notableWorkFocus, moral responsibility of perpetrators]
-
A.
notableWork
Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
-
B.
notableWorkAspect
Indicates a specific characteristic, feature, or component that is a significant or defining part of a notable work.
-
C.
notableWorkSetHere
Indicates that a notable creative work is set in or takes place within the referenced location.
-
D.
notableWorkAs
Indicates a relationship where a particular work is recognized as a significant or distinguished creation associated with an entity.
-
E.
notableTypeOfWork
Indicates that a work is a significant or defining example within a particular type or category of work associated with an entity.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e122e48190b3f890de8d561480 |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:32 p.m.