Triple
T15457245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanneli Goslar |
E371800
|
entity |
| Predicate | hasNotableMemoryOf |
P48006
|
FINISHED |
| Object | encounters with Anne Frank in Bergen-Belsen |
—
|
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: encounters with Anne Frank in Bergen-Belsen | Statement: [Hanneli Goslar, hasNotableMemoryOf, encounters with Anne Frank in Bergen-Belsen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableMemoryOf Context triple: [Hanneli Goslar, hasNotableMemoryOf, encounters with Anne Frank in Bergen-Belsen]
-
A.
rememberedThrough
Indicates that one entity is remembered, commemorated, or kept in memory by means of, or through the influence of, another entity or medium.
-
B.
rememberedFor
Indicates that one entity is known or recognized primarily because of, or in association with, another entity or achievement.
-
C.
memorizedBy
Indicates that some content, information, or material has been learned and retained in memory by a particular entity.
-
D.
hasMemorableMoments
chosen
Indicates that something contains or is associated with particularly notable or unforgettable moments or events.
-
E.
isRememberedAs
Indicates that an entity is recalled or regarded in a particular way in someone’s memory or collective remembrance.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f146a2c8190882741af3ec15268 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:31 a.m.