Triple
T13079180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwendolen Harleth |
E310156
|
entity |
| Predicate | undergoesDevelopment |
P63738
|
FINISHED |
| Object | moral awakening |
—
|
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 awakening | Statement: [Gwendolen Harleth, undergoesDevelopment, moral awakening]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: undergoesDevelopment Context triple: [Gwendolen Harleth, undergoesDevelopment, moral awakening]
-
A.
developsDuring
Indicates that one process, condition, or characteristic comes into existence or forms over the course of a specified time period, phase, or event.
-
B.
developedThrough
Indicates that something came into existence, was created, or was brought to its current form by means of a specified process, method, or developmental pathway.
-
C.
partOfDevelopment
Indicates that one entity is a component, phase, or contributing element within the overall development process of another entity.
-
D.
showsDevelopmentOf
chosen
Indicates that one entity presents, illustrates, or makes evident the growth, progression, or evolution of another entity over time.
-
E.
developsUntil
Indicates that a process, condition, or entity continues to develop or progress up to a specified point or limit in time or state.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d98119cb7081908b78ffe83ec99851 |
completed | April 10, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:01 p.m.