Triple
T13646928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchess of Württemberg |
E326126
|
entity |
| Predicate | titleFamilyContext |
P60633
|
FINISHED |
| Object | German nobility |
—
|
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: German nobility | Statement: [Duchess of Württemberg, titleFamilyContext, German nobility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleFamilyContext Context triple: [Duchess of Württemberg, titleFamilyContext, German nobility]
-
A.
linkedTitleFamily
Indicates that one title is associated with or belongs to the same family or grouping of related titles as another.
-
B.
textualFamily
Indicates that two or more texts are related through a shared origin, tradition, or lineage, forming a recognizable textual group or family.
-
C.
linkedFamilyTitle
Indicates that one entity is associated with another through a family-related title or role (such as parent, sibling, or spouse).
-
D.
familyContext
Indicates that the entities are related or associated within a family or household context, such as kinship, caregiving, or shared domestic life.
-
E.
titleHeldByFamily
chosen
Indicates that a particular title, rank, or honor is held collectively or traditionally by a specific family or family line.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6073e888190965456a639839749 |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.