Triple
T12308881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruderhof communities |
E293424
|
entity |
| Predicate | familyLife |
P47635
|
FINISHED |
| Object | strong emphasis on family |
—
|
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: strong emphasis on family | Statement: [Bruderhof communities, familyLife, strong emphasis on family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyLife Context triple: [Bruderhof communities, familyLife, strong emphasis on family]
-
A.
family
Indicates a familial relationship or connection between entities, such as being related by blood, marriage, or adoption.
-
B.
familyAspect
Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
-
C.
familyContext
chosen
Indicates that the entities are related or associated within a family or household context, such as kinship, caregiving, or shared domestic life.
-
D.
familyDepiction
Indicates that one entity visually represents or portrays members of a family or familial relationships.
-
E.
familyInvolvement
Indicates that there is participation, engagement, or influence of family members in the context of a particular activity, decision, or situation.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.